{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2016-08-18T04:56:06.016320",
     "start_time": "2016-08-18T04:56:04.037829"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The autoreload extension is already loaded. To reload it, use:\n",
      "  %reload_ext autoreload\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:stancache.seed:Setting seed to 1245502385\n"
     ]
    }
   ],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "import sys\n",
    "from os import getcwd, path\n",
    "import os\n",
    "sys.path.append(path.dirname(getcwd()))\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sb\n",
    "#import ggplot as ggplot\n",
    "import scipy.stats as stats\n",
    "import statsmodels.api as sm\n",
    "import statsmodels.formula.api as smf\n",
    "import lifelines as ll\n",
    "import patsy as patsy\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import functools\n",
    "import survivalstan\n",
    "import stanity\n",
    "from stancache import stancache, config\n",
    "%matplotlib inline\n",
    "from utils import data\n",
    "from utils import paper\n",
    "from cohorts.functions import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:Setting CACHE_DIR = /mnt/checkpoint-trials/bladder/stancache\n"
     ]
    }
   ],
   "source": [
    "sample_file_dir = '/mnt/checkpoint-trials/bladder/stan_sample_files'\n",
    "config.set_value(CACHE_DIR='/mnt/checkpoint-trials/bladder/stancache')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## prep data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2016-08-18T04:56:11.383824",
     "start_time": "2016-08-18T04:56:06.018333"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "inner join with tcr_peripheral_a: 25 to 25 rows\n",
      "inner join with ensembl_coverage: 25 to 25 rows\n",
      "inner join with tcr_peripheral_a: 25 to 25 rows\n",
      "inner join with ensembl_coverage: 25 to 25 rows\n",
      "{'dataframe_hash': 7698303973572390439,\n",
      " 'provenance_file_summary': {u'cohorts': u'0.4.2',\n",
      "                             u'isovar': u'0.0.6',\n",
      "                             u'mhctools': u'0.3.1',\n",
      "                             u'numpy': u'1.11.2',\n",
      "                             u'pandas': u'0.19.2',\n",
      "                             u'pyensembl': u'1.0.3',\n",
      "                             u'scipy': u'0.18.1',\n",
      "                             u'topiary': u'0.1.0',\n",
      "                             u'varcode': u'0.5.11'}}\n"
     ]
    }
   ],
   "source": [
    "## adapted from TCR plots.ipynb\n",
    "cohort = data.init_cohort(join_with=[\"tcr_peripheral_a\",\"ensembl_coverage\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2016-08-18T04:56:25.518952",
     "start_time": "2016-08-18T04:56:11.385582"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "inner join with tcr_peripheral_a: 25 to 25 rows\n",
      "inner join with ensembl_coverage: 25 to 25 rows\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:pyensembl.sequence_data:Loaded sequence dictionary from /home/jacquelineburos/.cache/pyensembl/GRCh37/ensembl75/Homo_sapiens.GRCh37.75.pep.all.fa.gz.pickle\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "inner join with ensembl_coverage: 25 to 25 rows\n"
     ]
    }
   ],
   "source": [
    "cols, d = cohort.as_dataframe(on={\"peripheral_a_clonality\": lambda row: row[\"Clonality\"], \n",
    "                                  \"missense_snv_count\": missense_snv_count,\n",
    "                                 }, return_cols=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2016-08-18T04:56:25.657884",
     "start_time": "2016-08-18T04:56:25.546569"
    },
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "## construct log-transformed / centered missense_snv_count metric\n",
    "d['missense_snv_per_mb'] = d.missense_snv_count / d.MB\n",
    "d['log_mut'] = np.log1p(d.missense_snv_count)\n",
    "d['log_mut_centered'] = d.log_mut - d.log_mut.mean()\n",
    "d['snv_count_at_median'] = d['missense_snv_count'].apply(\n",
    "    lambda x: 'above median' if x>=np.median(d['missense_snv_count']) \n",
    "    else 'below median'\n",
    "    )\n",
    "\n",
    "## define output variables of interest\n",
    "time_col = 'pfs'\n",
    "event_col = 'is_progressed_or_deceased'\n",
    "\n",
    "## reshape to long\n",
    "dlong = survivalstan.prep_data_long_surv(df = d, time_col = 'pfs', event_col = 'is_progressed_or_deceased')\n",
    "dlong_os = survivalstan.prep_data_long_surv(df = d, time_col = 'os', event_col = 'is_deceased')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{{{median_snv_per_mb:1.03}}}\n"
     ]
    }
   ],
   "source": [
    "paper.hyper_label_printer(formatter=lambda: paper.float_str(np.median(d['missense_snv_count'])), label='median_snv_per_mb')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## fit models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2016-08-18T04:56:28.815994",
     "start_time": "2016-08-18T04:56:28.794649"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "../utils/stan/pem_survival_model_randomwalk_alt.stan\n",
      "../utils/stan/pem_survival_model_varying_coefs2.stan\n",
      "../utils/stan/pem_survival_model_randomwalk_custom_coefs_missense_and_neoant_rates.stan\n",
      "../utils/stan/pem_survival_model_randomwalk_custom_coefs_expressed_missense_and_neoant_mutations.stan\n",
      "../utils/stan/logistic_model_by_group.stan\n",
      "../utils/stan/pem_survival_model_varying_coefs4.stan\n",
      "../utils/stan/pem_survival_model_randomwalk_bspline2.stan\n",
      "../utils/stan/pem_survival_model_randomwalk2.stan\n",
      "../utils/stan/pem_survival_model_randomwalk_tvc2.stan\n",
      "../utils/stan/pem_survival_model_randomwalk_bspline.stan\n",
      "../utils/stan/pem_survival_model_varying_coefs3.stan\n",
      "../utils/stan/pem_survival_model_randomwalk.stan\n",
      "../utils/stan/pem_survival_model_gamma.stan\n",
      "../utils/stan/pem_survival_model_randomwalk_bspline_est_xi.stan\n",
      "../utils/stan/pem_survival_model_unstructured_varcoef_hsprior.stan\n",
      "../utils/stan/pem_survival_model_unstructured_varcoef.stan\n",
      "../utils/stan/pem_survival_model_randomwalk_tvc.stan\n",
      "../utils/stan/logistic_model.stan\n",
      "../utils/stan/pem_survival_model_randomwalk_custom_coefs_rate_only.stan\n",
      "../utils/stan/pem_survival_model_randomwalk_bspline_est_xi2.stan\n"
     ]
    }
   ],
   "source": [
    "## load stan models\n",
    "models = survivalstan.utils.read_files('../utils/stan', pattern = \"*.stan\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:stancache.stancache:Step 1: Get compiled model code, possibly from cache\n",
      "INFO:stancache.stancache:StanModel: cache_filename set to anon_model.cython_0_25_2.model_code_17281568671805165521.pystan_2_14_0_0.stanmodel.pkl\n",
      "INFO:stancache.stancache:StanModel: Loading result from cache\n",
      "INFO:stancache.stancache:Step 2: Get posterior draws from model, possibly from cache\n",
      "INFO:stancache.stancache:sampling: cache_filename set to anon_model.cython_0_25_2.model_code_17281568671805165521.pystan_2_14_0_0.stanfit.chains_4.control_36919514615.data_70834362586.iter_5000.sample_file_4549781914055993204.seed_1245502385.pkl\n",
      "INFO:stancache.stancache:sampling: Loading result from cache\n",
      "/home/jacquelineburos/miniconda3/envs/newbladder2/lib/python2.7/site-packages/stanity/psis.py:228: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  elif sort == 'in-place':\n",
      "/home/jacquelineburos/miniconda3/envs/newbladder2/lib/python2.7/site-packages/stanity/psis.py:246: VisibleDeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n",
      "  bs /= 3 * x[sort[np.floor(n/4 + 0.5) - 1]]\n",
      "/home/jacquelineburos/miniconda3/envs/newbladder2/lib/python2.7/site-packages/stanity/psis.py:262: RuntimeWarning: overflow encountered in exp\n",
      "  np.exp(temp, out=temp)\n"
     ]
    }
   ],
   "source": [
    "dlong['lt_91_days'] = (dlong['end_time']<=91).astype(int)\n",
    "dlong['gt_91_days'] = (dlong['end_time']>91).astype(int)\n",
    "\n",
    "rw2_model_90d = survivalstan.fit_stan_survival_model(\n",
    "    formula = '~ missense_snv_count:lt_91_days + missense_snv_count:gt_91_days',\n",
    "    df = dlong,\n",
    "    timepoint_end_col = 'end_time',\n",
    "    sample_col = 'patient_id',\n",
    "    event_col = 'end_failure',\n",
    "    chains = 4,\n",
    "    iter = 5000,\n",
    "    FIT_FUN = stancache.cached_stan_fit,\n",
    "    model_code = survivalstan.models.pem_survival_model_randomwalk,\n",
    "    model_cohort = 'random-walk baseline hazard, time-varying HR at 90d',\n",
    "    sample_file = os.path.join(sample_file_dir, 'pem_survivalmodel_randomwalk_missense_X_91days'),\n",
    "    control = dict(adapt_delta = 0.95)\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:stancache.stancache:Step 1: Get compiled model code, possibly from cache\n",
      "INFO:stancache.stancache:StanModel: cache_filename set to anon_model.cython_0_25_2.model_code_17281568671805165521.pystan_2_14_0_0.stanmodel.pkl\n",
      "INFO:stancache.stancache:StanModel: Loading result from cache\n",
      "INFO:stancache.stancache:Step 2: Get posterior draws from model, possibly from cache\n",
      "INFO:stancache.stancache:sampling: cache_filename set to anon_model.cython_0_25_2.model_code_17281568671805165521.pystan_2_14_0_0.stanfit.chains_4.control_36919514615.data_53320118243.iter_5000.sample_file_10609303870534462159.seed_1245502385.pkl\n",
      "INFO:stancache.stancache:sampling: Loading result from cache\n"
     ]
    }
   ],
   "source": [
    "dlong_os['lt_91_days'] = (dlong_os['end_time']<=91).astype(int)\n",
    "dlong_os['gt_91_days'] = (dlong_os['end_time']>91).astype(int)\n",
    "\n",
    "rw2_model_90d_os = survivalstan.fit_stan_survival_model(\n",
    "    formula = '~ missense_snv_count:lt_91_days + missense_snv_count:gt_91_days',\n",
    "    df = dlong_os,\n",
    "    timepoint_end_col = 'end_time',\n",
    "    sample_col = 'patient_id',\n",
    "    event_col = 'end_failure',\n",
    "    chains = 4,\n",
    "    iter = 5000,\n",
    "    FIT_FUN = stancache.cached_stan_fit,\n",
    "    model_code = survivalstan.models.pem_survival_model_randomwalk,\n",
    "    model_cohort = 'random-walk baseline hazard, time-varying HR at 90d',\n",
    "    sample_file = os.path.join(sample_file_dir, 'pem_survivalmodel_randomwalk_os_missense_X_91days'),\n",
    "    control = dict(adapt_delta = 0.95)\n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "\n",
    "def extract_time_betas(stanmodel, bins=20, element='beta_time', value_name='beta'):\n",
    "    time_betas = stanmodel['fit'].extract()[element]\n",
    "    time_betas = pd.DataFrame(time_betas[:,0,:])\n",
    "    time_betas = pd.melt(time_betas, var_name = 'timepoint_id', value_name=value_name)\n",
    "    timepoint_data = stanmodel['df'].loc[:,['timepoint_id','end_time']].drop_duplicates()\n",
    "    time_betas = pd.merge(time_betas, timepoint_data, on = 'timepoint_id')\n",
    "    time_betas['exp({})'.format(value_name)] = np.exp(time_betas[value_name])\n",
    "    time_betas['model_cohort'] = stanmodel['model_cohort']\n",
    "    time_betas['alt_timepoints'] = pd.cut(time_betas['end_time'],\n",
    "                                          bins=bins,\n",
    "                                          precision=0,\n",
    "                                         )\n",
    "    time_betas['alt_log_timepoints'] = pd.cut(np.log(time_betas['end_time']),\n",
    "                                             bins=bins,\n",
    "                                             precision=1,\n",
    "                                             )\n",
    "    rename_log_timepoints = np.exp(time_betas['alt_log_timepoints'].cat.categories.str.extract(', ([\\d\\.]+)\\]', expand=False).astype(float)).astype(int)\n",
    "    rename_timepoints = time_betas['alt_timepoints'].cat.categories.str.extract(', ([\\d\\.]+)\\]', expand=False).astype(float).astype(int)\n",
    "    time_betas['alt_timepoint_end'] = time_betas['alt_timepoints'].cat.rename_categories(rename_timepoints)\n",
    "    time_betas['alt_log_timepoint_end'] = time_betas['alt_log_timepoints'].cat.rename_categories(rename_log_timepoints)\n",
    "    time_betas['90d_post_therapy'] = time_betas.end_time.apply(lambda x: '>90d' if x > 90 else '<=90d')\n",
    "    return(time_betas)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:stancache.stancache:Step 1: Get compiled model code, possibly from cache\n",
      "INFO:stancache.stancache:StanModel: cache_filename set to anon_model.cython_0_25_2.model_code_15864830649767775393.pystan_2_14_0_0.stanmodel.pkl\n",
      "INFO:stancache.stancache:StanModel: Loading result from cache\n",
      "INFO:stancache.stancache:Step 2: Get posterior draws from model, possibly from cache\n",
      "INFO:stancache.stancache:sampling: cache_filename set to anon_model.cython_0_25_2.model_code_15864830649767775393.pystan_2_14_0_0.stanfit.chains_4.control_36919514615.data_54527093328.iter_10000.sample_file_5067979448445717619.seed_1245502385.pkl\n",
      "INFO:stancache.stancache:sampling: Loading result from cache\n"
     ]
    }
   ],
   "source": [
    "\n",
    "tvc_model = survivalstan.fit_stan_survival_model(\n",
    "    formula = '~ missense_snv_count',\n",
    "    df = dlong,\n",
    "    timepoint_end_col = 'end_time',\n",
    "    sample_col = 'patient_id',\n",
    "    event_col = 'end_failure',\n",
    "    chains = 4,\n",
    "    iter = 10000,\n",
    "    FIT_FUN = stancache.cached_stan_fit,\n",
    "    model_code = models['pem_survival_model_randomwalk_tvc.stan'],\n",
    "    model_cohort = 'random-walk prior - randomwalk tvc',\n",
    "    sample_file = os.path.join(sample_file_dir, 'pem_survivalmodel_randomwalk_missense_tvc'),\n",
    "    control = dict(adapt_delta = 0.95)\n",
    ")\n",
    "\n",
    "tvc_model['time_betas'] = extract_time_betas(tvc_model)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:stancache.stancache:Step 1: Get compiled model code, possibly from cache\n",
      "INFO:stancache.stancache:StanModel: cache_filename set to anon_model.cython_0_25_2.model_code_9304163442804524267.pystan_2_14_0_0.stanmodel.pkl\n",
      "INFO:stancache.stancache:StanModel: Loading result from cache\n",
      "INFO:stancache.stancache:Step 2: Get posterior draws from model, possibly from cache\n",
      "INFO:stancache.stancache:sampling: cache_filename set to anon_model.cython_0_25_2.model_code_9304163442804524267.pystan_2_14_0_0.stanfit.chains_4.control_36919514615.data_54527093328.iter_10000.sample_file_5067979448445717619.seed_1245502385.pkl\n",
      "INFO:stancache.stancache:sampling: Loading result from cache\n"
     ]
    }
   ],
   "source": [
    "# same tvc model as above, including posterior-predicted values\n",
    "tvc_model2 = survivalstan.fit_stan_survival_model(\n",
    "    formula = '~ missense_snv_count',\n",
    "    df = dlong,\n",
    "    timepoint_end_col = 'end_time',\n",
    "    sample_col = 'patient_id',\n",
    "    event_col = 'end_failure',\n",
    "    chains = 4,\n",
    "    iter = 10000,\n",
    "    FIT_FUN = stancache.cached_stan_fit,\n",
    "    model_code = survivalstan.models.pem_survival_model_timevarying,\n",
    "    model_cohort = 'random-walk prior - randomwalk tvc',\n",
    "    sample_file = os.path.join(sample_file_dir, 'pem_survivalmodel_randomwalk_missense_tvc'),\n",
    "    control = dict(adapt_delta = 0.95)\n",
    ")\n",
    "\n",
    "\n",
    "ppsurv3 = survivalstan.utils.prep_pp_survival_data([tvc_model2], by='snv_count_at_median')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "tvc_model2['time_betas'] = extract_time_betas(tvc_model2)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "ppsummary3 = ppsurv3.groupby(['snv_count_at_median','event_time'])['survival'].agg({\n",
    "        '95_lower': lambda x: np.percentile(x, 2.5),\n",
    "        '95_upper': lambda x: np.percentile(x, 97.5),\n",
    "        '50_lower': lambda x: np.percentile(x, 25),\n",
    "        '50_upper': lambda x: np.percentile(x, 75),\n",
    "        'median': lambda x: np.percentile(x, 50),\n",
    "    }).reset_index()\n",
    "ppsummary3.sort_values(['snv_count_at_median','event_time'], inplace=True)\n",
    "\n",
    "ppsummary_above = ppsummary3.query('snv_count_at_median == \"above median\"').copy()\n",
    "ppsummary_below = ppsummary3.query('snv_count_at_median == \"below median\"').copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## revised version of figure (combined, using matplotlib)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{{{figure_timevary6}}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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AAAA1ZxAJAAAAANScQSQAAAAAUHMGkQAAAABAzRlEAgAAAAA1ZxAJAAAAANRc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\nU2rYsKFM09Qff/zhnWgBAPBjrVu31po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3sYkiSPatXkWCyg+zN69Oihjz76SDk5OXJ2dtbq1asVHh5+1aXDxf3www8aMGCA1Qyx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\nfZHHui/yCBrkxbR4G9MSohlpC+5XoaRFHZHShxwSRP5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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe7b413f390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.ticker as mtick\n",
    "\n",
    "\n",
    "def plot_pp_survival(data,\n",
    "                     xvar='event_time', yvar='median',\n",
    "                     y_lower='50_lower', y_upper='50_upper',\n",
    "                     **kwargs):\n",
    "    ax = kwargs.pop('ax', plt.gca())\n",
    "    base_line, = ax.plot(data[xvar], data[yvar]*100, **kwargs)\n",
    "    ax.fill_between(data[xvar], data[y_lower]*100, data[y_upper]*100, facecolor=base_line.get_color(), alpha=0.5)\n",
    "    fmt = '%.0f%%' \n",
    "    yticks = mtick.FormatStrFormatter(fmt)\n",
    "    ax.yaxis.set_major_formatter(yticks)\n",
    "    return ax\n",
    "\n",
    "def plot_obs_survival(data,\n",
    "                      **kwargs):\n",
    "    ax = kwargs.pop('ax', plt.gca())\n",
    "    observed_surv = survivalstan.utils._summarize_survival(df=data,\n",
    "                                                           time_col='pfs',\n",
    "                                                           event_col='is_progressed_or_deceased'\n",
    "                                                          )\n",
    "    base_line, = ax.plot(observed_surv['pfs'], observed_surv['survival']*100, **kwargs)\n",
    "    fmt = '%.0f%%' \n",
    "    yticks = mtick.FormatStrFormatter(fmt)\n",
    "    ax.yaxis.set_major_formatter(yticks)\n",
    "    return ax\n",
    "\n",
    "\n",
    "\n",
    "from utils.paper import *\n",
    "hyper_figure_label_printer(\"figure_timevary6\")\n",
    "\n",
    "import matplotlib.gridspec as gridspec\n",
    "fig = plt.figure()\n",
    "gs1 = gridspec.GridSpec(4, 2)\n",
    "ax1 = fig.add_subplot(gs1[0])\n",
    "ax2 = fig.add_subplot(gs1[1])\n",
    "ax4 = fig.add_subplot(gs1[2:4])\n",
    "\n",
    "fig.set_size_inches(2250 / 150, 2625 / 150)\n",
    "\n",
    "title_loc = \"left\"\n",
    "title_fontsize = 18\n",
    "title_kwargs = {\"loc\": title_loc, \"fontsize\": title_fontsize, \"fontweight\": \"bold\"}\n",
    "\n",
    "# prep data for PFS plot\n",
    "value, variable, coefdata = survivalstan.utils._prep_data_for_coefs([rw2_model_90d], 'coefs')\n",
    "coefdata['exp(beta)'] = np.exp(coefdata[value])\n",
    "coefdata['Missense SNV Count / MB'] = coefdata['variable']\n",
    "result = sb.boxplot(ax=ax1, data=coefdata, x='exp(beta)', y='Missense SNV Count / MB', fliersize=0, whis=[2.5, 97.5])\n",
    "_ = result.axes.set_yticklabels([u't ≤ 3m', 't > 3m'])\n",
    "_ = result.axes.vlines(1, -10, 10, linestyles='--')\n",
    "_ = result.axes.set_ylabel('# Missense SNVs / MB')\n",
    "_ = result.axes.set_xlabel('HR for {}'.format(cohort.hazard_plot_name))\n",
    "ax1.set_title(\"A\", **title_kwargs)\n",
    "\n",
    "# prep data for OS plot\n",
    "value, variable, coefdata = survivalstan.utils._prep_data_for_coefs([rw2_model_90d_os], 'coefs')\n",
    "coefdata['exp(beta)'] = np.exp(coefdata[value])\n",
    "coefdata['Missense SNV Count / MB'] = coefdata['variable']\n",
    "result = sb.boxplot(ax=ax2, data=coefdata, x='exp(beta)', y='Missense SNV Count / MB', fliersize=0, whis=[2.5, 97.5])\n",
    "_ = result.axes.set_yticklabels([u't ≤ 3m', 't > 3m'])\n",
    "_ = result.axes.vlines(1, -10, 10, linestyles='--')\n",
    "_ = result.axes.set_ylabel('# Missense SNVs / MB')\n",
    "_ = result.axes.set_xlabel('HR for {}'.format(cohort.hazard_os_plot_name))\n",
    "ax2.set_title(\"B\", **title_kwargs)\n",
    "\n",
    "# observed survival plot\n",
    "obs_above = plot_obs_survival(data=d.query('snv_count_at_median == \"above median\"'),\n",
    "                              label='Missense SNV above median',\n",
    "                              ax=ax4)\n",
    "obs_below = plot_obs_survival(data=d.query('snv_count_at_median == \"below median\"'),\n",
    "                              label='Missense SNV below median',\n",
    "                              ax=ax4)\n",
    "obs_above.set_xscale(\"log\", nonposx='clip')\n",
    "obs_below.set_xscale(\"log\", nonposx='clip')\n",
    "_ = obs_above.axes.set_ylabel('Progression-free Survival (%)')\n",
    "_ = obs_above.axes.set_xlabel('Days')\n",
    "_ = obs_above.xaxis.set_ticks(np.exp([2, 3, 4, 5, 6, 7]))\n",
    "_ = obs_above.xaxis.set_ticklabels(\n",
    "    [r\"%d ($e^%d$) \" % (int(round(np.exp(x))), x) for x in [2, 3, 4, 5, 6, 7]], rotation=\"vertical\")\n",
    "_ = ax4.legend()\n",
    "ax4.set_title(\"C\", **title_kwargs)\n",
    "\n",
    "# adjusting subplot spacing  \n",
    "plt.subplots_adjust(bottom=-0.5, wspace=0.35, hspace=0.35)\n",
    "fig.suptitle('')\n",
    "\n",
    "# save to file\n",
    "fig.savefig(path.join(data.REPO_DATA_DIR, 'Fig3v6.tif'), format='tif', dpi=300, bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## work on rug-plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# rug-figure alone\n",
    "\n",
    "# starting with basic plot:\n",
    "# 1. compute observed PFS events at each day, by group (missense above/below median)\n",
    "# 2. construct bar-plot showing number of events by group\n",
    "\n",
    "def add_count(subdf, field_name='n'):\n",
    "    subdf[field_name] = len(subdf.index)\n",
    "    return subdf\n",
    "\n",
    "pfs_event_freq = d.loc[d['is_progressed_or_deceased']==True,['pfs','snv_count_at_median']].groupby(['snv_count_at_median','pfs']).apply(add_count)\n",
    "pfs_event_freq.reset_index(inplace=True)\n",
    "pfs_event_freq.drop_duplicates(subset=['pfs', 'snv_count_at_median', 'n'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>pfs</th>\n",
       "      <th>snv_count_at_median</th>\n",
       "      <th>n</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>above median</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>61</td>\n",
       "      <td>above median</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>58</td>\n",
       "      <td>below median</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>398</td>\n",
       "      <td>below median</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>41</td>\n",
       "      <td>above median</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   index  pfs snv_count_at_median  n\n",
       "0      0   20        above median  1\n",
       "1      1   61        above median  1\n",
       "2      2   58        below median  1\n",
       "3      3  398        below median  1\n",
       "4      4   41        above median  1"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pfs_event_freq.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "del pfs_event_freq['index']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "pfs_events = pfs_event_freq.pivot(columns='snv_count_at_median', index='pfs', values='n').fillna(0)\n",
    "pfs_events.reset_index(inplace=True)\n",
    "pfs_events['total'] = pfs_events['above median'] + pfs_events['below median']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>snv_count_at_median</th>\n",
       "      <th>pfs</th>\n",
       "      <th>above median</th>\n",
       "      <th>below median</th>\n",
       "      <th>total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>19</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>37</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>41</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>58</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "snv_count_at_median  pfs  above median  below median  total\n",
       "0                     19           0.0           1.0    1.0\n",
       "1                     20           1.0           0.0    1.0\n",
       "2                     37           1.0           0.0    1.0\n",
       "3                     41           1.0           0.0    1.0\n",
       "4                     58           0.0           1.0    1.0"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pfs_events.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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3HCNDRKSFli1b4rXXXsMPP/wAGxsbWY9IK7m7u8PS0hL79+9HeXk5oqKi0Llz5xo/sQNA\nenLq+PHj1bYzNTWFra0t/vzzT41BRDm9feUazM3NNQaky5cv17hOTQwNDXX6F/2tW7cgCAL69++v\ntu/cuXNq25Q9I/WhF6FHjx4QRVFjnZp07doVd+/eRVpamtq+xMRErY6hfO3j71dJSYnePtO6wCBD\nRFSFymvXKOXl5aGgoEDjOBltGRgY4NVXX8XNmzexdu1a3L9/v8aDfJV69uyJbt26ITY2FjExMWr7\nKweRoUOHIj8/HyEhISptYmJikJiYiF69eqmMj3nppZdw69YtJCUlSduys7OxZs0avUx936xZM2Rn\nZ6vccqkJa2triKKI33//XWV7WFgYrly5ota+efPmAB6NE6lr3t7eaNOmDVavXq0xROTl5alsHzp0\nKCoqKrBq1SqVdpGRkbh+/bpW51S+X48Hn+XLl1fZU9cQ8NYSEVEV3nvvPZibm8PBwQHW1tYoLCxE\nXFwccnJyMGvWLKmdnBljhwwZgq1btyIkJASCIGDw4MGy6/zmm28wfvx4TJ8+HX369EH37t2Rk5OD\n8+fPw8bGRhpMGhgYiNjYWGzatAkXL16Ek5MTbt26haioKDRv3lzt9sz48eNx4sQJTJkyRaovLi4O\n9vb2Wg8urY6bmxsuXbqEwMBAODk5wcjICF5eXhoHl2ri6emJ1q1bY926dbh27Ro6dOiA5ORk/P77\n7+jfvz+OHj2q0r5Tp05o1aoVfv75ZzRq1EgalPzuu+/qfC011bhxY6xYsQKBgYEYOXIkPDw80Llz\nZxQXFyMtLQ1nzpzB8OHDsWDBAgDAyJEjERkZiX379uHmzZvSPDKxsbHo3bs3Tpw48cRzDh06FGvW\nrMEXX3yB06dPo1WrVjh79ixSU1PRq1cvjbfiGsJsyOyRISKqwscff4yuXbsiMTERYWFhiIqKQrt2\n7RAcHCzN7wHIm1TN3t4eHTp0QHl5Oezt7dGuXTvZdXbp0gV79uzB66+/jmvXrmHDhg2IjY2FhYUF\nXn/9dandc889h+3bt2Py5Mm4ffs2NmzYgNOnT2Pw4MHYtWuX2mR4/fv3x9dffw0rKyvs2bMHJ06c\nwKRJk6R5S6paqFATTe3fe+89jBw5ElevXkVoaChWrVpVo1scpqam2LJlC/r164ezZ8/if//7HwwN\nDbF161bY2dmptTc0NMT3338POzs77N27F6tWrcL333+v9fmqu5bK+7R9jYODAyIjIxEQEIC//voL\n27Ztw8GDB5GVlYXx48erzKpsYGCAdevWYezYsbh16xbCwsJw+/ZtrF27tsoxNo+f08bGBlu2bIGz\nszOOHj2KPXv2wMrKCjt37kTbtm1r9HnWJ4LYEOJWPaecuyE2NraOKyGqWnx8PBZtPIhWbbWfc+Je\n2nV8OskXvXr1arDnJqL6TdfvUPbIEBERUYPFIENEREQNFgf7EhHVM7m5udi0adMTxycoFAp4e3s/\npaqejvT0dGkNpupUXvhRVzExMRqfcnrcxIkTNU4OR3WLQYaIqJ75+++/paeZqjN8+PBnMshoc+0A\n9BZkYmNjERkZ+cR2I0aMYJCphxhkiIjqGVtbW616CJ5Frq6uT/3av/rqK3z11VdP9ZykPxwjQ0RE\nRA0WgwwRERE1WLJuLYmiiKKiIgBAo0aNpFUwY2NjsXnzZmRlZaFLly6YMWOG2gRLRERERPoiq0dm\n586dcHJygpOTE3bs2AEASEhIQFBQEOLj43H9+nVER0dj3LhxWq/KSURERFRTsoLMxYsXpfUXevfu\nDQDYtm2btE052jw7Oxvbtm3TR51EREREamQFmeTkZACPlrXv1KkTAODUqVMQBAEGBgZo0qSJ1PZJ\nS8sTERERySUryNy7dw+CIMDa2hrAo2Xis7OzAQDz5s3D0aNH0axZM4iiiNTUVP1VS0RERFSJrCDz\n8OFDAECrVq0AQCWsuLu7w9zcHD169AAA5OXl6VojERE1EBEREVAoFLh06VJdl9LgeHl5Yd68edLP\nZ86cgUKhQHx8fB1WVf/JempJOQamsLAQgGqQsbW1BQAYGxsDABo3bqxTgUREDV1JSQmSkpLqugzY\n29s/lb+TtZmVl7TD9/LJZAUZCwsL3LlzB0lJSTh79iwOHjwI4FEPjXJ8zN9//w0AaN68uZ5KJSJq\nmJKSkrBp6lS0MzOrsxpu5eZi4po16NWrV53VQDXj6uqKpKQkdgg8gawgo1AocOfOHRQWFuKtt94C\n8Cg1Ojg4SG1SUlIgCAKsrKz0UykRUQPWzswMXVq0qOsyqIFhiHkyWWNkhgwZIv1eFEXpseuhQ4cC\nAK5evYqsrCwAkMbKEBFRw5WRkYEFCxbg1Vdfhb29Pdzc3DBjxgykp6drbF9YWIj58+fDzc0Nzs7O\nmDNnjtRTX9m2bdvg5+eHHj16wMPDAwsXLkRubq60/z//+Q8cHR1RXFys9tqPPvoIffr0kb6DAODo\n0aMYO3YsHB0d4eTkhKlTp+LatWtPvD7l2J6zZ8/iyy+/hLu7O3r16oX58+ejrKwMubm5mD17trTq\n9jfffKN2DFEUsWnTJvj5+aFnz57o3bs35s+fr/G6//vf/6Jfv35wcHDAhAkTNNaoaYxMQkICZsyY\nAU9PT/To0QP9+/fHV199pfb+zJ07F46OjsjMzMR7770HR0dHuLu7Y+nSpSrv17NAVo/M4MGDcfbs\nWYSHh0vbRo8eLa3CGhsbC+DRh+ro6KiHMomIqC5duHABSUlJ8PPzQ+vWrZGeno7w8HCMHz8eBw4c\nkMZFAo/+7l+4cCGaNWuGDz74ACkpKdi+fTsyMjIQFhYmtfv+++8REhKC3r17Y8yYMUhJSUF4eDgu\nXryI8PBwGBoawtfXF9u3b8cvv/wCHx8f6bVFRUWIi4vDyJEjpXEkkZGRmDdvHjw8PDBr1iwUFRUh\nPDwcY8eORUREBGxsbJ54nV9++SVatWqFDz74AElJSdi1axfMzc2RmJgIGxsbfPTRRzh69Cg2bNiA\nrl27YtiwYdJr//3vfyMyMhIjR47E+PHjkZaWhrCwMFy5ckW6HgBYsWIFQkND0b9/f/Tt2xfJycmY\nPHkyysrK1Op5fIzMoUOHUFxcjDFjxqBFixY4f/48tm7diszMTKxYsULldaIo4u2334a9vT3mzp2L\nEydOYNOmTejQoQPeeOONJ74XDYXs1a/nz5+PadOmIT09HTY2NmjdurW0b+LEiRg7diwAoGnTprpX\nSUREdcrT01MlSACPnrIJCAhAVFSU1COvZGxsjE2bNklf3tbW1li2bBni4uLg6emJBw8eYO3atfDw\n8MC6deuk13Xq1Alffvkl9u7dC39/f7i4uMDKygoHDhxQOX9cXByKiorg6+sLACgoKMDixYsREBCA\nL774Qmrn7+8PHx8fhIaGYuHChU+8zlatWmHt2rUAgDFjxuDGjRv44YcfMGbMGMyfPx8AEBAQAC8v\nL/z4449SkElISMDu3bvx3Xff4bXXXpOO5+bmhilTpuDQoUMYPHgwHjx4gB9++AGenp5YvXq11G75\n8uVYs2bNE+ubPXu2yu2m119/He3atcOKFStw584dtGnTRtpXXFyMwYMHY9q0aQAedTiMGDECu3fv\nfqaCjKxbSxkZGcjIyECjRo3g6OioEmIAoEmTJjAzM4OZmRkMDLguJRFRQ1f5y7OsrAwPHz5E27Zt\nYW5uLk2SWllAQIAUYoBHocDQ0BBHjx4FAJw4cQJlZWWYMGGC2uuaNm2KX375Rdr26quv4tixY9KT\nsgBw8OBBtG7dGs7OztLxcnNzMXjwYGRnZ0u/AKBnz544ffr0E69REASMHDlSZZu9vT0AqGw3MDCA\nnZ0d0tLSpG1RUVEwNzfHyy+/rHL+bt26wcTERDq/8rrHjRuncp7H34eqVP4cCgsLkZ2dDUdHR1RU\nVGj8HEaPHq3ys7OzM27duqXVuRoKWT0yXl5eEAQBgwYNwsqVKzW2WbZsmTTb765du3QqkoiI6lZx\ncTFCQ0MRERGBzMxMlSVpKo9pUW7r0KGDyjYTExO0atVKGlOTkZEBAOjYsaNKu0aNGqFdu3bSfgB4\n7bXXsHnzZhw5cgSDBw9GQUEBjh07hjFjxkhtbty4AVEUMX78eLXaBUGAmZZPjCknelVSvk7T9pyc\nHOnn1NRU/P3333jllVc0nl+57qDyutq3b6/SxsLCAs2aNXtifbdv38bKlSsRFxencn5Nn4OxsTFa\nPDbAvFmzZhrH7DRksm8tPcnNmzdx8eJFPgNPRPQMWLhwISIjIzFhwgQ4ODhIX/AffvghKioqavXc\n9vb2sLW1xcGDBzF48GAcOXIExcXF0m0lAKioqIAgCPjmm2/QsmVLtWMYGWn3dVe5F6kyTXcXKg+a\nraiogKWlJZYtW6ZxMK2FhYVW569ORUUFJk6ciNzcXAQGBqJTp0547rnnkJmZiblz56qd959yR6TW\ngkxJSUltHZqIiJ6y6Oho+Pv7Y/bs2dK2kpIStV4AANLyNK6urtK2goIC3Lt3D/369QPw/5OnpqSk\noG3btlK70tJSpKWlqfVs+Pr6IiwsDPn5+Thw4ABsbW3Rs2dPaX/79u0hiiIsLCzg7u6un4uugfbt\n2+PUqVNwcnKq9pFp5XWnpqaqXPeDBw9Uelg0+fPPP5Gamoqvv/5aZUzSiRMndKy+YdM6rinHxVTu\n7isqKlLZrvyVmJiI8+fPA+CshEREzwIDAwO1npctW7agvLxcY/udO3eqPIWzfft2lJeXS0HG3d0d\nRkZGKk8xAcCuXbuQl5cHT09Ple2vvfYaSkpKEBERgd9++01lQC0A9OnTB6ampggNDdX49M+DBw+0\nv1gZfH19UVZWhpCQELV95eXlUuBzd3eHoaGh2nVv3rz5iedQ9rA8/jls3rz5H/1dq3WPjHJcjJIo\nijh27BgGDBhQ7eu0vS9JRET1l6enJ/bu3QtTU1N06dIFiYmJOHXqlNoYDKXS0lJMnDgRvr6+uH79\nOsLDw+Hi4iIFFAsLC0ydOhUhISGYMmUKvLy8pMeve/bsqTJfGQB0794d7du3x/Lly1FaWqpyWwkA\nTE1NsWDBAsyZMwf+/v4YPHgwLCwskJGRgaNHj8LZ2RmfffZZtdeoy/wqvXr1wujRo7F27VpcvnwZ\nvXv3hpGREW7cuIGoqCh89tlnGDRoECwsLDBlyhSsXbsWU6dORd++fXH58mX8+uuvGm8/Va6pc+fO\naN++PZYuXYrMzEyYmpoiKipKY6/YP0mNby1VflOr+9AFQYAgCHjppZfkVUZE9Ay5VcdfNrqe/7PP\nPoOhoSH279+P4uJiODs7Y+PGjZgyZYpab4AgCPj3v/+Nffv2YdWqVSgrK8OQIUPw6aefqrQLCgqC\nhYUFtm3bhiVLlqBZs2Z444038OGHH2ocq+Lr64s1a9agQ4cO6Natm9p+5Rw3a9euxYYNG1BSUiI9\n2TRixIgnXmNNezUeb//FF1/Azs4OO3fuxIoVK2BoaAhbW1sMHz4cTk5OUrsPP/wQxsbG2LFjB86c\nOQN7e3ts2LABgYGBGt9LJSMjI4SGhmLRokVYu3YtjI2NMXDgQIwdO1ZlPpsnXc+z1nsjiFpGUIVC\nIU2woy0jIyOsX78eL7/8suwCGwJlr5RyIkCi+ig+Ph6LNh5Eq7adtX7NvbTr+HSSr87r89TlueuD\nf9qikUQ1oet3qNY9MpX/MomPj4cgCGjevDm6dOmi0k4QBDRp0gSdO3fG8OHDoVAoZBVGRPSsaNy4\n8TMRyIjqI62DTOWBScpw4urqWuU8MkRERES1Tdbj18p/Wbzwwgt6LYaIiIioJmQFmccfGyMiIiKq\nCzpPiHfnzh1kZmZWOwEe7w0TERFRbZAdZGJiYrBs2TKkpqZW204QBI0LWRERERHpSlaQOXbsGKZP\nnw5AtwmEiIiIiHQha0WpNWvWqKx8SkRERFQXZPXIJCcnSwHGwsICPXv2hJmZWZWrhhIRERHVBp0G\n+7Zo0QJ79+7VuGQ6ERERUW2TdWupa9euAIBu3boxxBAREVGdkRVkRo0aBVEUcfXq1WofuyYiIiKq\nTbJuLY0aNQqHDh3CiRMnMH36dMybNw8dO3bUc2lERM+GZ2HRyO+//x4hISE4deoUmjdvrpd65s6d\nizNnzuAhKacbAAAgAElEQVTIkSN6OV5Dpel9UCgUCAoKQlBQUB1W1jDICjLe3t4oLi6GKIo4duwY\njh07BhMTE41/uAVBQExMjM6FEhE1VElJSZi1dB1aWLWtsxqy76Zh2Zx3ZE9QKgiC3p9SrY1jNkSa\n3ge+N9qTFWTS09OlN1n5GHZ+fj7y8/PV2vKDICICWli1Rau2neu6DGogkpKSYGSk8+T7/wg6v0vV\nBRVOlkdERFRzcm8B/hPJGuwLPAopT/pFRETPlgcPHmDGjBlwdnaGm5sbFi1apPGhj59++gkjRoyA\nvb093Nzc8NFHH+HOnTtPPH5hYSGWLFmC/v37o0ePHnj11VexYcMGlTbTp0/HiBEjVLZNmzYNCoUC\ncXFx0rbz589DoVDg119/rfJ86enpUCgU2LhxI7Zt2wZvb284ODhgypQpyMzMBACEhISgX79+sLe3\nx3vvvYe///5b7ThHjx7F2LFj4ejoCCcnJ0ydOhXXrl1TaxcTEwM/Pz/07NkTQ4YMqXLohUKhQHBw\nsPRzRkYGFixYgFdffVV6T2fMmIH09HSV10VEREChUOD333/HV199BXd3dzg6OiIoKAjZ2dlVvg8N\nmawemStXrui7DiIiqudEUcTMmTPRtm1bfPzxx0hKSkJYWBhyc3OxZMkSqd3q1auxatUqvPbaawgI\nCMCDBw8QFhaGt956C5GRkTA1Na3yHNOmTUN8fDxGjRoFhUKB3377DV9//TXu3r2LuXPnAgCcnZ1x\n5MgR5Ofno2nTpgCAxMREGBoaIiEhAZ6engCA+Ph4GBoawsnJ6YnXtnfvXpSVlWHcuHHIycnBunXr\nMGPGDLi5uSE+Ph6BgYFITU1FWFgYli5dikWLFkmvjYyMxLx58+Dh4YFZs2ahqKgI4eHhGDt2LCIi\nImBjYwMA+O233/DBBx/ghRdewMcff4yHDx9i3rx5aNOmzRPru3DhApKSkuDn54fWrVsjPT0d4eHh\nGD9+PA4cOABjY2OV9l9++SWaNWuGoKAgpKenY/PmzfjPf/6D77777onnamh4A46IiLTWvn17qafg\nzTffRNOmTREeHo7Jkyeja9euyMjIQHBwMD788EMEBgZKrxs0aBCGDx+O7du3q2yvLCYmBqdPn8ZH\nH30ktXnzzTcxY8YMbNmyBWPHjkW7du3g4uKC8vJy/P777/Dw8MCff/6JnJwc+Pr64uzZs9Lxzp49\nixdffFEKO9W5e/cuoqOjpbbl5eVYs2YNiouL8eOPP8LA4NENjPv372Pfvn1YsGABGjVqhIKCAixe\nvBgBAQH44osvpOP5+/vDx8cHoaGhWLhwIQBg2bJlsLS0xPbt26XzuLq6YtKkSbC1ta22Pk9PT/j4\n+Khs8/LyQkBAAKKiojB06FCVfS1atMAPP/wg/VxRUYGtW7ciLy+v2iDZEMm+tfQ4URRRWFior8MR\nEVE9IwgCxo4dq7LtrbfegiiKOHr0KAAgOjoaoijC19cX2dnZ0i8LCwt06NABp0+frvL4x44dg5GR\nEd566y2V7ZMnT0ZFRQWOHTsGAOjevTtMTEyQkJAAAEhISIC1tTWGDx+Oixcvori4GMCjIOPi4qLV\ntfn6+qoEnp49ewIAhg0bJoUY4NEj7KWlpdJtp+PHjyM3NxeDBw9WuV7lMZTXe+/ePVy5cgX+/v4q\n53F3d0eXLl2eWF/lMTNlZWV4+PAh2rZtC3NzcyQnJ6u0FQQBo0ePVtmmDH8ZGRlavR8NiU49Mvfu\n3cOaNWsQFxeHO3fuQBRFJCcnY8eOHcjKyoKRkRGmTZumr1qJiKiOtW/fXu1nAwMDaaxGamoqKioq\nMHDgQLXXCoKARo0aVXnsjIwMWFlZwcTERGX7888/L+0HAAMDAzg6OkpB5uzZs3B2doaTkxMqKipw\n7tw5tGzZEjk5OVoHmcdv75iZmQEAWrdurXG7cpxMamoqRFHE+PHjNV6vsr2y9g4dOqi169Spk1oY\neVxxcTFCQ0MRERGBzMxMlYWbc3Nzn3g95ubmKnU/S2QHmXPnzuHdd9/Fw4cP1VbCzszMxOrVqyEI\nAhwdHeHm5qafaomIqF55/MnViooKGBgYYP369RqfatXmNo82nJycsGbNGpSUlCAhIQHvvfcezMzM\n8MILLyAhIQEtW7aEIAhaB5mqFj2uarvye6+iogKCIOCbb77RuGSPvh6hXrhwISIjIzFhwgQ4ODhI\nAenDDz9ERUVFjet+lsh6hx8+fCiNgH58PhkA8PHxwerVqwE8GsnNIENE9GxITU1VGc+h7IFp2/bR\nZH/t27eHKIqwtbXV2PtQHRsbG5w6dQoFBQUqvTJ//fWXtF/JxcUFwcHB2L9/P+7evSsFll69eklB\npmPHjrCwsJB9rdpQXq+FhQXc3d2rbKesPTU1VW1fSkrKE88THR0Nf39/zJ49W9pWUlKisTfmn0bW\nGJmtW7ciKytLCjCPJzyFQoEWLVoAQL2YlpuIiHQniiK2bdumsi0sLAyCIMDDwwPAo0G9BgYGKo8O\nV/bw4cMqj9+vXz+UlZVh69atKts3bdoEAwMD9O3bV9pmb28PQ0NDrFu3Ds2aNZNuPzk7O+PcuXNI\nSEjQujdGF3369IGpqSlCQ0NRVlamtv/BgwcAgFatWqFbt26IiIhAXl6etP/48eMaH9N+nIGBgVrP\ny5YtW1BeXq7jFTR8snpkKj+n/+233+LgwYNqz8J36dIF8fHxGtMnEdE/TfbdtGfi/GlpaXj33Xfh\n4eGBxMRE7Nu3D0OHDsWLL74IAGjXrh1mzJiB5cuXIy0tDd7e3mjatClu3bqFmJgYvPHGG5g0aZLG\nY3t5ecHNzQ0rVqxAWlqa9Ph1XFwcJk6ciHbt2kltmzRpAjs7O5w7dw5eXl7S9l69eqGwsBBFRUVw\ndnbWyzU/rvI/3k1NTbFgwQLMmTMH/v7+GDx4MCwsLJCRkYGjR4/C2dkZn332GQDgo48+wrRp0zBm\nzBiMHDkSDx8+xLZt2/DCCy+goKCg2nN6enpi7969MDU1RZcuXZCYmIhTp05JnQZV1afN9oZOVpBJ\nTU2FIAiws7PD4MGDERUVpdZGef8uJydHtwqJiBo4e3t7LJvzTl2XAXt7e51eb2BggOXLl2PlypX4\n7rvvYGhoiHHjxuGTTz5RaRcYGIjOnTtj06ZNCAkJAQBYW1vDw8NDJXQAqmNsBEFAaGgoVq1ahQMH\nDiAiIgK2traYM2cOJk6cqFaPs7MzkpKSVHpeLC0t0aFDB9y6dUvrHpmq1jWqaub6x7cr53ZZu3Yt\nNmzYgJKSErRu3RrOzs4qE/d5eHhg5cqVWLFiBZYvX4727dvjq6++QmxsLOLj46ut6bPPPoOhoSH2\n79+P4uJiODs7Y+PGjZgyZYrGdZq0qftZIYgyIpqdnR3Ky8vRr18/hIaG4oMPPkB0dDQEQcDly5cB\nAOPGjUN8fDyMjY2f+dtLAwYMAADExsbWcSVEVYuPj8eijQdrtN7PvbTr+HSSr+yFBuvDuYmoftP1\nO1TWGJnmzZtDFMUqByjl5eXh0qVLUlsiIiKi2iAryCjvhd68eRPr169XGWyUlZWFefPmoaCgAIIg\noFu3bvqplIiIiOgxssbIeHt74/jx4wAeDfatrG/fvioDiry9vXUoj4iIiKhqsnpkRowYoTI/gCiK\n0iAi5eNhgiCgQ4cOaus/EBEREemLrCBjbGyM//73v7CyslIJMQCkuWVatmyJ4OBglfUhiIiIiPRJ\n9tzJzz//PPbt24cNGzYgNjYWaWmP5iho27YtvLy8MGnSJA70JSIiolql0yIQ5ubmmDlzJmbOnKmv\neoiIiIi0JuvW0tq1a3H//n1910JERERUI7KCzHfffYd+/fphxowZ0tNLRERERE+b7FtL5eXliI6O\nRnR0NGxtbREQEIARI0bA0tJSn/URERERVUlWj0xloigiLS0Ny5cvR//+/fHBBx/g119/1UdtRERE\nRNWSFWQWLFgAR0dHaeI75ePXZWVlOHz4MAIDAzFgwACEhobi3r17+quWiIiIqBJZQeaNN97A9u3b\ncfjwYQQFBaF9+/ZSqBFFEaIoIj09HStXroSnp6deCyYiIiJS0unWUrt27RAUFISoqCjs2LEDY8aM\nkeaOUU6MV3kdJiIiIiJ90mkemcocHBxgbW0NS0tLrF27FiUlJfo6NBEREZFGOgeZgoICREdHIzIy\nEmfOnFFZMJKIiIioNskKMqIo4vjx4/jpp58QExODoqIiabvylhLwaOZfLhpJREREtUVWkOnbty+y\nsrIAQO3JJVEU4ejoiNGjR8PX1xfGxsZ6KpWIiIhIlawgc+/ePZUVr4H/730ZPXo0unTpopfiiIiI\niKoje4yMsifG2dkZAQEB8PX1RePGjfVWGBEREdGTyAoyzZo1w/DhwxEQEIDnn39e3zURERERaUVW\nkPn111+fSu9LSkoKjh8/jkuXLuHixYu4fv06ysvLMXPmTEybNq3GxwsODkZwcHCV+wVBwIEDB9Cp\nUyddyiYiIqKnRFaQqRxiysrKkJiYiLS0NBQUFGDs2LF6Ky48PBxbtmxRGY/z+NgcObp16waFQqG2\nXRAEmJmZ6Xx8IiIiejp0mkdm586dWLFiBR4+fAjgURAYO3YsPv74Y5w7dw5GRkbYvXu37HDQtWtX\nTJkyBd27d0f37t0RGhqKvXv36lIyAGDAgAEICgrS+ThERERUt2QHmVWrVmH16tUaJ8Dr3bs3fv75\nZwiCgJiYGPj7+8s6x6hRo1R+NjDQebFuIiIieobISgYXLlzA6tWrATzqhXn8do+np6cUOk6dOqVj\nifqlj1tTREREVD/I6pHZtm2bNItvmzZtIIoi7ty5I+1v0aIF2rdvjxs3buDy5ct6K1YfRFHEpUuX\n8O233yInJwempqbo3r07PD090bRp07ouj4iIiGpAVpCJj48HAJiYmODHH3/EggULVIIMANja2uLG\njRu4ffu27lXqkSAI+OWXX/DLL79I20RRhJmZGT799FMMHz687oojIiKiGtFpZl9HR0dYWFhobKN8\nsqmwsFB+dXrWrl07fPjhh+jbty9sbW0BANeuXcPatWvxyy+/YN68eTAyMoKfn18dV0pERETakDVG\nxtDQEACqXela2RNTn9ZaGjZsGAIDA6FQKGBmZgYzMzM4Ojpi9erVGDt2LERRxFdffYWysrK6LpWI\niIi0ICvIWFlZQRRFJCUlIT8/X21/cnIyrly5AkEQYG1trXORT8P06dNhaGiIBw8eICkpqa7LISIi\nIi3ICjKOjo4AgPz8fEyePBlpaWnSvvXr1+Odd96RfnZwcNCxxKejWbNm0m2yzMzMOq6GiIiItCEr\nyFSe3+X8+fPSk0miKOLbb7/F/fv3pf0jR47UscSno6KiAnl5eQDAp5eIiIgaCFlBxsXFBf7+/ipj\nZCrPJ6P87/Dhw6Xem/ouNjYWhYWFEAQBdnZ2dV0OERERaUH2VLlffvklxowZA0EQIIqiyi8ACAgI\nwH/+8x+9Faqtbdu2wdfXF3PnzlXZfvv2bezduxclJSVqr4mJicFnn30GQRAwdOhQtGzZ8mmVS0RE\nRDqQvUSBoaEhPv/8c0yYMAFHjhyRxsm0bdsW/fv3R+fOnXUuLjk5GQsWLJB6eG7evAlRFLFjxw7E\nxcVJ7UJCQmBpaQkAyM7ORkpKClq1aqVyrJycHMyePRsLFixA9+7d0bp1axQVFeHatWtITU2FIAh4\n+eWX8fnnn+tcNxERET0dOi0aCQAdO3bE5MmT9VGLmry8PFy4cEFlmyAIyMzMlAbkCoKg1suiadmE\nNm3aIDAwEBcuXEBqaiqSk5NRWlqKFi1awNPTE0OGDMFrr71WK9dBREREtUPnIFObXF1da7zEQVBQ\nkMaVrZs3b46PPvpIX6URERFRPcDlpImIiKjBYpAhIiKiBotBhoiIiBosBhkiIiJqsBhkiIiIqMFi\nkCEiIqIGS1aQycnJ0XcdRERERDUmK8j07dsXc+fORWJior7rISIiItKarCBTXFyMn376CW+++SaG\nDRuG8PBw5Ofn67s2IiIiomrpNEZGFEX88ccfWLhwITw8PDB//nwkJyfrqzYiIiKiaskKMi+88IK0\nyrVyTaOCggLs2rULI0eOREBAACIiIlBcXKy/SomIiIgeIyvI7Nu3Dz/99BMmT56M1q1bS6EGeNRL\nc/78efzrX/9C3759sXjxYvz11196K5iIiIhISfatpRdffBGzZ8/GL7/8gs2bN2PEiBEwNTWV9oui\niJycHISFhWHIkCGYPn067ty5o5eiiYiIiAA9zSPj5uaGxYsXY//+/XB0dATw6JaT8rZTRUUFYmJi\nMGrUKKSlpenjlERERET6CTLJycn417/+BR8fH5w7d04KMKIoSredRFHE/fv3ERISoo9TEhEREcFI\n7gtLS0tx6NAhbNu2DUlJSQAehRVBEKTw0rNnT0yePBn379/HN998g6KiIpw8eVI/lRMREdE/nqwg\ns2LFCuzevRv3798H8P8BRql///54++234eLiIm1LSUnB1q1bce/ePR1LJiIiInpEVpAJDQ2Vel6U\nAaZRo0YYOnQoJk2ahOeff17tNdbW1gAejZchIiIi0gfZt5aUzMzMMGbMGIwbNw6WlpZVtuvatSv8\n/f11PR0RERGRRHaQsba2xoQJE/D666/DxMTkie09PDzg4eEh93REREREamQFmWXLluG1116DgYFe\nHnoiIiIikkVWkDl+/DiOHz+OHj164M0339TYJjk5WRrY269fP/kVEhEREVVBVpCJiIiAIAgoKCio\nMsiEhobi8OHDEASBC0kSERFRrdB5sG91Kq/BRERERKRvtTbI5e7du7V1aCIiIiIANeiRmTdvntq2\nixcvatx+9+5dnDt3DsCj+WWIiIiIaoPWQUY5LkZJFEVkZGQgMjKy2tcpJ8IjIiIi0rdaGyOjDD0D\nBgyorVMQERHRP1yNgszjg3erG8xrYGCAQYMGYfr06fIqIyIiInoCrYPMli1bADwKLxMmTIAgCHBx\ncVELKoIgwNjYGB07doS5ubl+qyUiIiKqROsg4+rqqvKzKIqwsLBQ205ERET0tMgaI6PsnbGwsNBr\nMUREREQ1ISvIsBeGiIiI6gOtgoxyrhjl2kqa5o6piiAIWLx4sbzqiIiIiKqhVZB5fG2lx+eUqYoo\nigwyREREVGtqbYkCIiIiotqm9RiZmswhQ0RERPQ0aBVkHn9KSfkzERERUV3SKsg8/pQSn1oiIiKi\n+oBjZIiIiKjBYpAhIiKiBkurW0vdunWTfQJBEJCcnCz79URERERV0SrI8AklIiIiqo+0fvxamwnw\nHscARERERLVJqyBjY2NT23UQERER1ZhWQebIkSO1XQcRERFRjfGpJSIiImqwGGSIiIiowdJ6sK8m\nJSUlOHPmDK5fv47c3NwqB/cGBQXpchoiIiIijWQHmd9++w3z5s1DVlbWE9syyBAREVFtkBVkbt26\nhaCgIBQVFT2xrZzHtomIiIi0IWuMzPbt21FUVCSFFEEQVALL4z8TERER1QZZQeb06dPS7ydPniyN\njenRowc++ugjtGzZEoIgYOrUqVi8eLF+KiUiIiJ6jKwgk5aWBgBo27YtZs+eLW23sbFBYGAgwsLC\nYGhoiF27duGVV17RT6VEREREj5EVZAoKCiAIAjp27KiyvaKiAgDQqVMnODg4IDs7G6tWrdK5SCIi\nIiJNZAWZJk2aAACMjY1Vfr5z547UxsjICKIo4rffftO1RiIiIiKNZD21ZG5ujvz8fOTm5gIALCws\nkJGRgUuXLiEqKgpNmjRBQkICAODBgwf6q5aIiIioEllBpk2bNsjIyMDDhw8BAC+88AIyMjIgiiJm\nzpwJ4P9XvrawsNBTqURERESqZN1aUigUAIDr16+juLgY3t7e0j5RFCGKovQItqenp34qJSIiInqM\nrB6Zvn37IiMjAwCQnp6O4cOHY9euXTh//rzURhRFdOjQATNmzNBPpURERESPkRVk+vfvj/79+6ts\nCwsLw9atW3H27FmUlZXB3t4e48aNg7m5uT7qJCIiIlKj06KRlRkbG2PKlCmYMmWKvg5JREREVC1Z\nQWb8+PEAAFdX1yoXhPztt9+QmpoKABg7dqzM8oiIiIiqJivInDlzBoIgoEWLFlW2+d///ofDhw8D\nYJAhIiKi2iHrqSVtKR/BJiIiIqoNtRZkbt68WVuHJiIiIgJQg1tLynExlcXHx2vcfvfuXWl8jHIZ\nAyIiIiJ90zrIKMfFKImiiOzsbMTHx6u1Vd5SEgQB7dq100OZREREROr09vh1ZZUDj5+fX22cgoiI\niKhmQebxwbvVDeZt1qwZRo0ahbffflteZURERERPoHWQiY2NBfAovHh7e0MQBPTt2xfz589XaScI\nApo0acLFIomIiKjWaR1kbG1tVX4WRRFNmjRR205ERET0tMgaI+Pv7w8AaNu2LUpLS9GoUSO9FkVE\nRESkDVlB5qeffoIoilAoFHj//ff1XRMRERGRVmRNiKdcmqB169Z6LYaIiIioJmQFGWdnZ4iiiJSU\nFH3XQ0RERKQ1WUHmvffeg5GREW7evIkdO3bouyYiIiIircgaI3PlyhUMGjQIBw4cwBdffIHo6Gi4\nurrCysoKBgbq2Wj48OE6F0pERET0OFlBZu7cuRAEAYIgQBRFnDx5EidPnqyyPYMMERER1QadlyhQ\nLkdQ1Sy/lZcrICIiItIn2UGmuuUJiIiIiJ4GWUEmKChI33UQERER1RiDDBERETVYsh6/JiIiIqoP\ndB7sm5KSgl9++QVpaWkAHq2/1K9fP3Tu3Fnn4oiIiIiqIzvIlJWVYeHChdi9e7fawN9vvvkGI0aM\nwOeff84FJYmIiKjWyA4ys2fPxsGDB6UQU/kxbFEU8eOPPyIvLw8rVqzQT6VEREREj5E1RubkyZM4\ncOAAAPUAo9wmiiKioqJw/PhxPZVKREREpEpWj8zu3bul3xsYGGDgwIFQKBQAgD/++AOHDx9GeXk5\nAGDPnj3o3bu3HkolIiIiUiUryCQlJQEADA0NsWHDBri6uqrsT0hIwMSJE1FeXi61JSIiItI3WbeW\nsrKyIAgC7Ozs1EIMALi4uMDOzg6iKCIrK0vnIomIiIg0kRVklGNhqnsiSbmPSxkQERFRbZEVZCws\nLCCKIi5cuIDr16+r7b9+/TouXLggtSUiIiKqDbLGyPTo0QO3b99GcXExxowZg9GjR6Nr164QBAF/\n/vkndu7ciaKiIun2ExEREVFtkBVk/Pz8EB0dDQDIycnBunXrVPZXvp3k5+enQ3lEREREVZN1a2ng\nwIFwdXWFKIrSnDGVfynnlnFxcYGPj49eCyYiIiJSkhVkBEFAcHAwXn75ZY2DeUVRhKurK4KDg3Uu\nkIiIiKgqspcoMDc3x6ZNm/Dbb7/hyJEjSE9PhyiKaNu2Lfr374++ffvqs04iIiIiNTqvft2nTx/0\n6dNHH7UQERER1YisW0tERERE9YFOPTKZmZk4deoUMjMzUVJSUmW7oKAgWcdPSUnB8ePHcenSJVy8\neBHXr19HeXk5Zs6ciWnTpsktGydOnMDGjRtx4cIFFBYWwsbGBoMGDcLUqVNhYmIi+7hERET0dMkO\nMkuXLkVYWJi0OGR15AaZ8PBwbNmyRXoKCoDK7+XYtGkTlixZAgMDAzg7O8PS0hIJCQlYs2YNDh8+\njO3bt6N58+Y6nYOIiIieDllBZsuWLdi4caPKNk0Bo/Kj2HJ07doVU6ZMQffu3dG9e3eEhoZi7969\nso93+fJlLF26FEZGRggNDZXG9hQXF2PatGk4efIkPv/8c6xcuVL2OYiIiOjpkRVkdu3aBQDSHDJA\n7aypNGrUKJWfDQx0G9ITGhoKABgxYoTKAGVjY2MsWrQI3t7eiI6ORkpKCjp16qTTuYiIiKj2yQoy\nqampUk/LgAED4O7ujqZNm+q1MH0rLS3FsWPHAGiebdjGxgZOTk44e/YsDh8+jMDAwKddIhEREdWQ\nrCBjamqK7Oxs2NnZISQkRN811YobN26gsLCw2vWf7OzskJCQgMuXLz/l6oiIiEgOWfdq3N3dIYoi\nDA0N9V1PrUlLSwPwaCK/qp5MatOmjUpbIiIiqt9kBZnp06fjueeew/nz5xEZGanvmmpFfn4+AOC5\n556rso3y9lheXt5TqYmIiIh0I+vWUseOHbF+/Xq8/fbbmDdvHlavXo0uXbrA3Nxcra0gCFi8eLHO\nhT6rSkpKkJSUVOPX2dvbo3HjxjofS9Nx5Pinnrum9Pl516WaXkdycnKdnRt4Nj5vXrd2SktLAQCN\nGjXS+dw1xc+7ZvRVr6wgU15ejrCwMBQWFgJ4NPj35s2bau2Uj1/XhyCj7G1R1qyJstfG1NT0qdQE\nAElJSZi1dB1aWLXV+jXZd9OwbM476NWrl9qxNk2dinZmZlod51ZuLiauWaN2HDn+qeeuKX1+3nWp\npu95wp07wICxdXLuZ+Xz5nVr/2ftXo9+dfL/GD/vuvl7TVaQ+eGHH3Do0CGdJ6d7mmxtbQEAf//9\nNwoKCjSOk7lz545K26elhVVbtGrbWS/Hamdmhi4tWujlWDx37dDn512XavKe38rNRXodnbuuPSv/\nf9dUXV33rdxclNXh/2P8vJ8+WWNkfvzxR+n3oihW+as+6dSpkzQ+5uLFixrbXLx4EYIgoHv37k+z\nNCIiIpJJVo/M7du3IQgCBEHA5MmT4eTkhKZNm+o8YV1tatSoEfr164dDhw5h//79cHV1Vdmfnp6O\nxMREAMDAgQProkQiIiKqIVlBxtLSErdv30avXr3wySef6LsmnWzbtg1bt26Fvb09lixZorIvMDAQ\nUVFR2LNnDwYOHAgPDw8AQFFRET799FNUVFTAx8eHs/oSERE1ELKCzKBBg7Bp0ybk5OToux4VycnJ\nWLBggTQW5+bNmxBFETt27EBcXJzULiQkBJaWlgCA7OxspKSkoFWrVmrH6969O+bOnYslS5YgMDAQ\nvfFbzT0AACAASURBVHr1QsuWLZGQkICsrCx07twZCxYsqNVrIiIiIv2RFWTef/99xMXF4Y8//kBw\ncDACAwNr5ZGvvLw8XLhwQWWbIAjIzMxEZmam9HNJSYlam6oGIk+YMAFdu3bFxo0bcf78eRQWFsLa\n2hojR45EYGBglZPlERERUf0jO8g0btwYoigiJCQEGzduRPv27WGm4TExQRCwefNmWcW5urrWeLmA\noKAgBAUFVdvG3d0d7u7usmoiIiKi+kNWkDlz5ozU6yGKIvLz83H58mW1XhDlPDJEREREtUFWkKmM\nQYWIiIjqiuwgU9/miSEiIqJ/HllBJjY2Vt91EBEREdWYrCDztKfwJyIiItJEq6l4/fz8EBwcjD//\n/LO26yEiIiLSmlZB5tq1awgJCcGwYcPw6quvYvny5UhOTq7t2oiIiIiqpVWQeeutt2BlZQVRFHHj\nxg2sXbsWI0eOhLe3N77++mucP3++tuskIiIiUqNVkPnss89w9OhR7NixA5MmTYK1tTVEUURaWho2\nbtyI0aNHw9PTE4sXL8bZs2dru2YiIiIiADUc7Ovg4AAHBwfMmTMHFy9eRFRUFKKjo5Gamorbt28j\nLCwMYWFhsLS0xMCBA+Hj4wNXV1fONUNERES1QvY8MnZ2drCzs8PHH3+MK1euSKHmr7/+wr179xAe\nHo7w8HC0aNEC3t7eeOutt9C1a1d91k5ERET/cDrP7AsACoUCCoUCM2bMwF9//YVDhw4hKioKf/75\nJx48eIBdu3bBysqKQYaIiIj0Si9BprLnn38e77//Pt5//32kpqZKoYa3l4iIiEjf9B5kKuvQoQOm\nTp2KqVOnorS0tDZPRURERP9AOgeZ8vJyZGdno6SkpMo2NjY2aNSoka6nIiIiIlIhO8icP38eK1eu\nRHx8fLW9LYIgcPI8IiIiqhWygkxSUhLGjx+PkpISroJNREREdUarCfEe9/3336O4uBjAox4XTQN5\nObiXiIiIapusHplz5879X3t3HhdVvf8P/HUA2ZHFBQWXzIUJARVF5d5yyetSiUtauaVcTbHULLu3\nTL1pqWndLHNJTVLM0K4rlmnuYImKKCK7oqbIKsoiArJ9fn/4m3MZmIHhzJBwv6/n4+FDmHPO5/M5\nZw6fec/nfBZIkgQhBJo0aYIOHTrAzs4OJiaK4iIiIiIiRRQFMuo+MXZ2dti1axc6dOhg1EIRERER\n6UNRE8pTTz0FAPDy8mIQQ0RERE+MokBmxIgREELg1q1b7OxLRERET4yiQOb111+Hu7s7UlNT8dFH\nH+HBgwfGLhcRERFRrRT1kXnjjTdQVlYGIQT27NmDn3/+Ge3atYODg0O1fSVJwrZt2wwuKBEREVFV\nigKZiIgIedi1EALFxcW4evVqtSHXQggOwyYiIqJ6Y/ASBQxUiIiI6ElRHMiwky8RERE9aYoCmRMn\nThi7HERERER1piiQcXV1NXY5iIiIiOqMawoQERFRo2VQZ9+8vDxs2bIFJ0+exJ07dwAAbdq0wfPP\nPw9/f384OjoapZBERERE2igOZBITEzF9+nRkZ2drdPy9du0akpOTsXfvXgQGBkKlUhmloERERERV\nKXq0VFhYiFmzZuHu3bvyXDGV/wkhkJ2djVmzZqGwsNDYZSYiIiICoDCQ2bNnD1JTU+U5ZIQQGv/U\n0tLSsGfPHuOUlIiIiKgKRYFM5eHXHh4e2LRpE8LCwhAWFoZNmzbBy8tL3n78+HHDS0lERESkhaI+\nMteuXQMAODg4YOvWrbCzs5O3OTs7o0ePHhg6dChycnKQnJxsnJISERERVaGoRSY/Px+SJMHd3V0j\niFFr2rQp3N3d5X2JiIiI6oOiQMbS0hIAkJmZqXMf9Tb1vkRERETGpiiQcXV1hRAC169fx+bNmzU6\n+Aoh8N133yE5ORmSJMHFxcVohSUiIiKqTFEfmd69eyMpKQkA8OWXXyI4OBgdO3YEAFy/fl2jpaZ3\n795GKCYRERFRdYoCmfHjx2Pnzp0oLy+HEAIZGRly8FK5dcbU1BTjx483TkmJiIiIqlD0aOnpp5/G\nvHnzNCbDU6v88zvvvCO31BAREREZm+IlCqZOnYpmzZph1apVyMrK0tjWokULzJs3D6NHjza4gERE\nRES6GLRo5MiRIzFixAjExsYiNTUVQgi0adMGXbt2hYkJF9YmIiKi+mVQIAM8fpTk6ekJT09PY5SH\niIiISG9sNiEiIqJGS68WmcmTJwN4PJR69uzZ8u/6kCQJ27ZtU1Y6IiIiohroFchERERAkiQ4Ojpq\n/F4b9agmIiIiovrAR0tERETUaOnd2bfyRHfaficiIiL6s+kVyJw4cQIAYGVlpfE7ERER0ZOkVyDj\n6upa4+9ERERETwL7yBAREVGjpSiQKSwsRHJyMpKTk3Hv3j359R9++AGDBg1Ct27d8PLLLyMiIsJo\nBSUiIiKqSlEgs2fPHvj5+cHPzw8nT54EAJw6dQrLli1DWloaHj16hPj4eAQEBCAlJcWoBSYiIiJS\nUxTIxMbGyqOWnn32WQDAf/7zH3m7eu6Y4uJi7Nixw9AyEhEREWmlKJBJTEwEALRq1QqtW7cGAERG\nRkKSJFhZWaFNmzbyvufPnzdCMYmIiIiqUxTI3L9/H5IkwdnZGQCQlpaGgoICAMBHH32EX375BS1a\ntIAQAnfu3DFeaYmIiIgqURTI5ObmAgCaNWsGALh165a8rUePHjA3N4e7uzuAxx2DiYiIiOqDokDG\nzOzx9DP5+fkA/hvISJIkP2oyNTUFAFhaWhpcSCIiIiJtFAUyzZs3hxAC0dHR+Omnn7Bv3z4AQOvW\nrWFubg7gv602Dg4ORioqERERkSa911qqzMPDA3fu3EFpaSk++OADAI9bY3r27Cnvc+PGDY0WGiIi\nIiJjU9QiM2bMGI3f1UOx1a9fuXJFbpHp1q2bIeUjIiIi0klRIPPcc8/hn//8J6ysrCCEgJWVFebN\nm4c+ffoAAM6ePQs7OzvY2tqiV69eRi0wERERkZqiR0sAMG3aNEyZMgX379+Ho6MjmjRpIm8LCAhA\nQECAUQpIREREpIviQAZ4PHqpZcuWxioLERERUZ0YFMhUFRMTgx07diA7OxsdO3bEG2+8gebNmxsz\nCyIiIiKZoj4yP/30E3x9feHr64udO3cCAJKSkjBx4kSEhITg999/x7Zt2zB+/Hh5xl8iIiIiY1MU\nyERFRSEnJwe5ubno0aMHACAoKAglJSXyPurlCX788UfjlJSIiIioCkWBTHx8PADA3t4eKpUKAHDm\nzBlIkgQhhDwcGwBCQ0MNLyURERGRFooCmczMTEiSBBcXFwCPF5HMysoCAMyaNQtHjhyBtbU1hBC4\nefOm8UpLREREVImiQCYnJwcA5BFLf/zxh7xt8ODBaN++vTwRXl5enoFFJCIiItJOUSBTUVEBACgr\nKwMA3L59W97Wpk0bAICNjQ2A/y4wSURERGRsigIZe3t7CCEQExODzMxMnD59GgDg6OgIW1tbAJBH\nK3HRSCIiIqovippLunTpguzsbOTn52PAgAEAHi8a6eXlJe9z+/ZtSJLEeWSIiIio3ihqkRk6dKj8\nc+VRSsOGDQMApKSkIC0tDQDQtWtXQ8tIREREpJWiQGbs2LEYMGCAxjDr5557DiNHjgQAnDhxAsDj\nIEc9zwwRERGRsSl6tGRqaoqNGzfi8uXLuHPnDlxcXODt7S1vHzp0KPr27QsAaN++vXFKSkRERFSF\nQUOKunfvju7du1d7vXXr1mjdurUhSRMRERHVyuCx0WVlZYiKisKdO3dQWFiIiRMnGqNcRERERLUy\nKJD5z3/+g9WrVyM3NxfA45FLEydOxHvvvYfLly/DzMwMe/bsgZ2dnVEKS0RERFSZos6+ALBmzRos\nWbIEOTk58sgldeffv/71r0hNTcXt27dx/PhxoxWWiIiIqDJFgUxMTAw2bNgA4HErjCRJGtsHDhwI\nE5PHSZ87d87AIhIRERFppyiQCQ4OlltfWrVqBWdnZ43tjo6OaNeuHYQQSEhIMLyURERERFooCmQu\nXLgAALC2tsbevXs1ZvRVc3V1BQCkp6cbUDwiIiIi3RQFMnfv3oUkSejRowecnJy07mNubg4AKCoq\nUl46IiIiohooCmRMTU0BQGNm36rULTEWFhZKsiAiIiKqlaJApmXLlhBCIDo6Gg8fPqy2PT4+HomJ\niZAkiRPjERERUb1RFMio1096+PAhpk6dijt37sjbAgMDMX36dPl3bTP/EhERERmD4kUj1a5cuSKP\nTBJCYNWqVbh37568fcyYMQYWkYiIiEg7RYFMr169MHr0aI0+MpXnk1H/P2rUKK5+TURERPVG8cy+\ny5Ytw/jx4yFJksbMvurg5tVXX8XSpUuNVlAiIiKiqhSvtWRqaorFixdjypQpOHnypNxPpk2bNhgw\nYACefvppoxWSiIiISBtFgYx6QjzgccffqVOnGq1ARERERPpSFMi8/vrrkCQJLi4uOHHihLHLRERE\nRKQXRX1k7OzsAACdO3c2amGIiIiI6kJRIKNSqSCEQFZWlrHLQ0RERKQ3RYHMpEmTAABXr17F5cuX\njVogIiIiIn0p6iPj6emJkSNH4sCBAwgICMDUqVPh4+ODli1bwsSkemzk4uJicEGJiIiIqlIUyDz/\n/PPyBHh5eXlYvXq1zn0lSUJ8fLziAgLA4cOHsWPHDiQlJaG0tBTt2rWDn58f/P39YWam/ymsW7cO\n69atq7Gshw4dQocOHQwqLxEREf05FM8jo6aeEK++LF++HNu3b4eZmRn69u0La2trnD9/Hl988QVC\nQ0OxZcsWmJub1ynNZ555BiqVqtrrkiTJHZmJiIio4TMokKkpgDFGgHP8+HFs374dNjY2CA4OloOP\n3NxcTJ48GRcvXsTq1avx/vvv1yndQYMGYfbs2QaVjYiIiJ48RYGMj4+Pscuh1caNGyFJEgICAjRa\nUBwcHLB48WJMnDgRwcHBeOutt2Bra/unlImIiIgaDkWBzPbt241djmoyMzMRGxsLSZLw0ksvVdve\ns2dPtG7dGhkZGTh9+jRefPFFvdJVL2hJREREjZ/BfWTqS0JCAgDA3t4erq6uWvfx8PBARkYG4uPj\n9Q5khBCIi4vDqlWrkJeXB1tbW7i7u2PgwIGwsbExWvmJiIio/jXYQEa9CGVNQ7dbtWoFIYS8rz4k\nSUJoaChCQ0Pl14QQsLOzw8KFCzFq1CjFZSYiIqI/l6JApqYhzJWZm5ujZcuW8PX1hbOzc53yePjw\nIQDAyspK5z7W1tYAgIKCAr3SbNu2Ld59913069dPbuVJTk7Gt99+i9DQUHz44YcwMzPD8OHD61RW\nIiIiejIUBzJ16WtiYmKC8ePHY8GCBVonzPuzjBw5stprPXr0wIYNG7Bs2TL88MMPWLFiBYYNG1an\n+WmIiIjoyTAoqhBCyP+0vab+V15ejuDgYHz00Ud6p63ur1JUVKRzn8LCQgAwyoilOXPmwNTUFPfv\n30d0dLTB6REREVH9UxzICCHk2X3Vv6sDmsqvq38XQmDv3r24cuWKXumrH/2kp6fr3CcjIwOSJOns\nDFwX9vb2cHJyAvB4xBQRERE1fIqen6xYsQLnzp3DgQMHYG5ujuHDh8PNzQ2SJCExMREHDx5EaWkp\nxo4dixYtWmD37t3Izs4GAISEhMDLy6vWPNzd3QE8nvwuNTVVa7ASGxsLAOjatauS09BQUVEh97Xh\n6CUiIqLGQVEg4+XlhSVLlsDc3BzBwcHw9PTU2D5u3DhMmjQJhw4dQkhICF599VUMGzYMJSUleq+W\n7ezsDE9PT8TGxuLgwYMICAjQ2B4ZGYn09HRYWFigX79+Sk5Dw4kTJ1BUVAQTExN4eHgYnB4RERHV\nP0WPltavX49Hjx6hW7du1YIY4HGg061bNxQWFmLt2rVo3bo1BgwYACEEUlNT9c4nICAAQgh8++23\nGgtP5uTk4OOPP4YkSZg0aZJGH5ng4GC88MILmD9/vkZa6enp+Omnn1BSUlItn+PHj2PRokWQJAkj\nRoxAs2bN9C4jERERPTmKWmTOnz8PSZJQXFyscx91wHD27FkAQJs2bQD8d1i1Pv72t79h8uTJ2L59\nO1599VX4+vrCysoK586dw4MHD9CzZ0/MnTtX45icnBzcvHkTLVq00Hg9Ly8P77//PpYsWQJ3d3c4\nOzujuLgYycnJuHXrFiRJQt++fbF48WK9y0dERERPlqJAJj8/HwAQFxeHQ4cOVZtV99SpU4iJidHY\nVz2cWT33i74WLFgAb29vBAcH4/LlyygrK0Pbtm0REBCAKVOmaB0mXbWzMfB48rwZM2YgJiYGt27d\nQnx8PEpLS+Ho6IiBAwfCz89P79mBiYiIqGFQFMi4urri1q1bqKiowHvvvYegoCCoVCpIkoTk5GRc\nunRJ3lc9M29WVhYAwNHRsc75DRs2DMOGDdNr39mzZ2td2drBwQHz5s2rc95ERETUcCkKZIYPHy5P\niieEwJUrV+QWGAAaw7D9/PwAAPHx8ZAkCW5ubkYoNhEREZHCzr7Tp0+Hl5dXtblk1NS/d+vWDdOn\nT0dqaiqSkpIghICPj4/hpSYiIiKCwhYZCwsLBAUFYeXKldi3bx/Kyso0EzUzw8svv4z58+fD3Nwc\nrq6uSExMNEqBiYiIiNQULyhkbW2NTz75BHPnzsX58+flYdWurq7o06cPhzATERFRvTN4ZcRmzZpx\ntA8RERE9EQYHMg8ePMDZs2dx584dAI/ni/H19YWdnZ3BhSMiIiKqiUGBzKZNm7Bx48ZqE+NZWlpi\nxowZePPNNw0qHBEREVFNFAcyn332GYKCguSh1pUVFRVhzZo1yMnJwYIFCwwqIBEREZEuioZfX7ly\nBVu3bgWAakOv1a8JIbB9+3ZER0cbVkIiIiIiHRS1yPznP/+RfxZCwNPTEyqVCgCQlJSEK1euyAHO\nrl270K1bNyMUlYiIiEiTokDm4sWL8s+ff/45RowYobH94MGD+Mc//gFJkjT2JSIiIjImRY+WsrKy\nIEkS3N3dqwUxwOMlDLp27QohBDIzMw0uJBEREZE2igKZ0tJSAEDTpk117qPeVnXWXyIiIiJjURTI\nODg4QAiBmJgYeVXryrKysuRFJB0cHAwrIREREZEOivrIuLu7IywsDA8fPsSkSZMwbdo0dOnSBZIk\n4erVq/juu+9QUFAASZLwzDPPGLvMRERERAAUBjJDhw5FWFgYAOD27dtYsmSJxvbKc8sMHTpUeemI\niIiIaqDo0ZKfnx9UKhWEEPKcMZX/qYded+nSRWtnYCIiIiJjUBTINGnSBN988w06duwot75IkiQH\nMEIIdOjQAd988w2aNGlivNISERERVaJ4iQIXFxeEhIRg7969OHXqFFJTUyGEQJs2bTBgwACMGTMG\n5ubmxiwrERERkQaDFo1s0qQJxo0bh3HjxhmrPERERER6UxTIqEciNW3aFL///jsfHxEREdEToaiP\njKWlJYQQ8PDwYBBDRERET4yiQKZt27aQJAklJSXGLg8RERGR3hQPvxZCIC4uDnfv3jV2mYiIiIj0\noiiQ8ff3h6+vLwoLCxEQEICoqChjl4uIiIioVoo6+w4bNkxeODIhIQETJkxAkyZN0Lx5c3kuGTVJ\nknD8+HHDS0pERERUhaJAJjU1VZ4ATz0hXklJCdLS0qrtWzWwISIiIjIWg+aRAWoOVCqvuURERERk\nbIoDGQYpRERE9KQpCmQSExONXQ4iIiKiOlM0aomIiIioITC4jwzwuKNvVlYWAKBly5ZcLJKIiIj+\nFAYFMmfPnsWmTZtw8eJFlJWVPU7QzAw9e/bEjBkz8Je//MUohSQiIiLSRvGjpXXr1mHq1Kk4f/48\nSktLIYSAEAKlpaU4d+4cpk2bhjVr1hizrEREREQaFAUyx44dw7p16+SRS+o5ZSr/E0Jgw4YNOHbs\nmFELTERERKSmKJAJCgoCADlgEULAzs4OdnZ28u/qbVu3bjVmeYmIiIhkigKZhIQEeSI8Pz8/hIWF\nISIiAhERETh9+jRGjhwpt9ZwqDYRERHVF0WBjDqIcXV1xeeffw5nZ2d5W8uWLbFixQq0adNGY18i\nIiIiY1MUyLi5uQEAnnrqKa2BiomJibzN3d3dsBISERER6aAokJkwYQKEEEhMTERxcXG17cXFxfIj\npcmTJxtWQiIiIiIdFAUyw4cPxyuvvILs7GzMnDkTUVFRePjwIR4+fIioqCi8+eabuHfvHt544w0M\nHjzY2GUmIiIiAqBwQrxnnnlG/vn8+fOYMGFCtX2EEAgMDERgYKDG65IkIT4+Xkm2RERERBoUBTLq\n4dXqIdba1LSNiIiIyBgMXmupplFJVbcxsCEiIiJjUhTIuLi4GLscRERERHWmKJA5efKksctBRERE\nVGeKF40kIiIietIYyBAREVGjxUCGiIiIGi0GMkRERNRoMZAhIiKiRouBDBERETVaDGSIiIio0WIg\nQ0RERI0WAxkiIiJqtBjIEBERUaOl1xIF69atMyiT2bNnG3Q8ERERkTZ6BzI1rXJdGwYyREREVB/q\ntGikEKLOGRgSABERERHVRO9ARt8gpnLgoiTwISIiItKXXoGMvo+Gzp8/jwsXLrAVhoiIiP4URglk\n4uPj8eWXXyIyMlIOYoQQsLe3R0BAgOGlJCIiItKiTn1kqrp16xZWr16NI0eOyI+RhBCwsrKCv78/\npk2bBltbW6MUlIiIiKgqRYFMZmYm1q9fj3379qG8vFwOYpo0aYLXXnsNb731FpycnIxaUCIiIqKq\n6hTI5OXlYePGjdi5cycePXokBzAmJibw8/PD22+/DVdX13opKBEREVFVegUyRUVF2Lp1K7Zu3YqC\nggKN0UjPP/883n33XXTu3LneCklERESkjV6BzKBBg5CTkyMHMJIkwcfHB++99x66detWrwUkIiIi\n0kWvQOb+/fuQJEljWPWFCxcwbty4Wo+VJAnx8fHKS0hERESkQ507+3KSOyIiImoo6hzI1GWyOwY9\nREREVJ+MvkQBERER0Z9Fr0AmMTGxvstBREREVGcmT7oAREREREoxkCEiIqJGi4EMERERNVoMZIiI\niKjRYiBDREREjRYDGSIiImq0GMgQERFRo8VAhoiIiBotBjJERETUaDGQISIiokaLgQwRERE1Wgxk\niIiIqNFiIENERESNFgMZIiIiarQYyBAREVGjxUCGiIiIGi0GMkRERNRoMZAhIiKiRouBDBERETVa\nDGSIiIio0WIgQ0RERI0WAxkiIiJqtBjIEBERUaPFQIaIiIgaLQYyRERE1GgxkCEiIqJGi4EMERER\nNVpmT7oA+jh8+DB27NiBpKQklJaWol27dvDz84O/vz/MzOp+CuHh4di6dStiYmJQVFQEFxcXDBky\nBAEBAbC2tq6HMyAiIqL60OBbZJYvX453330XUVFR8PLywnPPPYeMjAx88cUX8Pf3R0lJSZ3SCwoK\nwtSpU3HmzBl07twZzz//PAoKCrBp0yaMHTsWubm59XQmREREZGwNukXm+PHj2L59O2xsbBAcHAyV\nSgUAyM3NxeTJk3Hx4kWsXr0a77//vl7pJSQk4LPPPoOZmRk2btyIZ599FgDw6NEjzJw5E2fPnsXi\nxYvx9ddf19s5ERERkfE06BaZjRs3QpIkBAQEyEEMADg4OGDx4sUQQiA4OBgFBQV6pwcAL7/8shzE\nAICFhQWWL18OExMTHD16FDdv3jTuiRAREVG9aLCBTGZmJmJjYwEAL730UrXtPXv2ROvWrVFSUoLT\np0/Xml5paam83/Dhw6ttd3Fxgbe3NwDg2LFjhhSdiIiI/iQNNpBJSEgAANjb28PV1VXrPh4eHgCA\n+Pj4WtP7448/UFRUpHGctvSEEHLeRERE1LA12EDmzp07AB63lOjSqlUrCCHkffVJr2nTpjpHJrVq\n1UpjXyIiImrYGmwg8/DhQwCAlZWVzn3UAYk+fWT0Sc/Gxkbv9IiIiOjJa9CjlhqLu3fvoqysDIMG\nDarzsY8ePcL93AdINtX/ragoL8O7V47CwsKiWloF2dkwvXtXr3TKKypw8N13q6WjxP/VvOvKmO/3\nk8y7rtf8UXk5Kk7vbfT3eV39r/x919X/yr1WV3y/lZ13eno6TE1NFeffYAMZdeuIul+LNoWFhQAA\nW1tbo6SnbrXRJ73KzM3NIYSo0zFqFhYWaO1snBvPwsICFjr6E9W3/6t515Ux3+8nmTffb/38r1zz\nuuJ5Gyet/yvnbWZmBnNzc+XHKz6ynqk7+Kanp+vcJyMjA5Ik6ewMrC29/Px8FBYWau0nk5GRobGv\nviIjI+u0PxERERlHg+0j4+7uDuDx5Hepqala91EPz+7atWut6XXo0EHuH6M+Tlt6kiTJeRMREVHD\n1mADGWdnZ3h6egIADh48WG17ZGQk0tPTYW5ujn79+tWaXpMmTdC/f38IIbSml5qaiqioKADA4MGD\nDSw9ERER/RkabCADAAEBARBC4Ntvv9WYKyYnJwcff/wxJEnCpEmTNPq0BAcH44UXXsD8+fOrpTdj\nxgxIkoR9+/bht99+k18vLi7GwoULUVFRgaFDh6JDhw71e2JERERkFJJQ2kv1T/Lpp59i+/btMDU1\nha+vL6ysrHDu3Dk8ePAAPXv2xJYtWzQ6Ca1btw7r1q1D79698f3331dLb9u2bVi5ciUAwMfHB82a\nNUNkZCSys7Px9NNPIzg4GA4ODn/a+REREZFyDbazr9qCBQvg7e2N4OBgXL58GWVlZWjbti0CAgIw\nZcoUmJlVPwVJkiBJktb0pkyZgi5dumDr1q24cuUKioqK0Lp1a4wZMwYzZszQOVkeERERNTwNvkWG\niIiISJcG3UeGiIiIqCYMZIiIiKjRYiBDREREjVaD7+zbWN28eRNnzpxBXFwcYmNjcePGDZSXl+Od\nd97BzJkzdR6Xl5eHwMBAnDhxAqmpqbCwsECXLl3wyiuvYOTIkbXmW1paijNnziAsLAwxMTHIMzOj\n3AAAIABJREFUyMhAbm4uHBwc4OnpiXHjxqF///46jw8PD8fWrVsRExODoqIiuLi4YMiQIQgICNCr\nI/TPP/+M33//HYmJibh79y7y8/NhaWmJDh06YPDgwZg0aVK1dFQqVa3pAsBnn32m1zVQ+/zzz7Fl\nyxYA0HrdMzIyEBYWJr9H165dQ2lpKV555RUsXbpU73wA4MMPP8T+/ft1bpckCdHR0dWm4c7NzcV3\n332H0NBQ3LlzB6WlpWjWrBm6d++O119/Hb169dK7DKWlpdi5cyd+/fVXXL9+HUVFRWjevDm6dOmC\nkSNH4oUXXqh2jKHvt5K8jXndlZ53ZcHBwXK+dS1DXfI2xn2empqq95puP/zwg3z/qEdz6iJJEg4d\nOqTX1BPp6enYvHkzwsPDkZ6eDiEEWrRoAR8fH/j7++t1nrqueV3rTSEEIiIicPLkSURHRyM9PR33\n7t2Dra0t3N3dMXr0aPj5+WktQ25uLk6dOoW4uDjExMQgPj4eJSUlsLW1hZWVlV71ptLreuXKFZw4\ncQKXLl3CnTt3kJWVBRMTE5iZmcHExASPHj3Su84WQiAkJAQHDhxAUlISCgoK4OjoiE6dOmHw4MEY\nP368xv779+/Hhx9+qHF8VVZWVujcubPOOhtQ/llVVFSE77//HkePHsUff/whn6uHhwdeffVVPP/8\n8zqP1YWBTD3ZuXMnvv/+e43RU7pGUqmlpKRgypQpSEtLg6OjI3x9ffHo0SNcvnwZkZGROHfuHFas\nWFFjGpGRkZg5cyYkSULz5s3h4eEBa2trJCcnIzQ0FKdOncJrr72Gjz/+uNqxQUFBWLlyJUxMTNCz\nZ080b94ckZGR2LRpE44dO4YdO3bUOjR9586duHz5Mjp27IiuXbvC3t4e9+7dw+XLlxETE4O9e/fi\nhx9+QIsWLeRjRo8erTO99PR0nDt3DiYmJujdu3eNeVd26dIlBAUFwcTEROc6WEeOHMGKFSvq9B7V\nRJIkeHt7o127dlq3VV0ULSUlBRMmTMDdu3fh6OiIPn36wNLSEsnJyTh69CiOHDmC+fPnw9/fv9a8\nMzIyMG3aNFy/fh1OTk7w9vaGtbU10tPTcf78eVhYWFT7QDfG+60kb2NedyXnXVlKSgq++OKLGu8T\nY+VtjPvc2tq6xnSuX7+OK1euwNbWFh4eHtW2P/PMM1oDDUmSYGdnpzNdtejoaEydOhWFhYVwdnbG\ns88+C1NTUyQkJCAkJAQHDx7EqlWrMHToUJ1p1HTN61pvqutMSZJgb28PDw8P9OrVCykpKTh79izC\nw8Pxyy+/YN26ddVGuEZGRuLDDz+EJEkQQshlKSkpgY+Pj971JlC361peXo5XX30VkiTB2toa7dq1\nQ1pampw3ADg4OMDBwaHWvAsKCjBz5kxERkbCzs4OPXr0gJ2dHbKyshAXF4f8/PxqgYxa+/bt4e3t\njbCwMNy/fx92dnawsrKCubk5mjVrhqtXr+qss5V+VuXm5mLixIm4fv06bGxs0KNHDzRt2hS3bt1C\nWFgYQkNDMXnyZCxYsEBrmXUSVC92794tPv/8c3Hw4EFx48YN8f777wuVSiU2bNig85ixY8cKlUol\npkyZIvLz8+XXb9++LQYPHixUKpXYtWtXjfmePXtWvP322+LixYvVth06dEi4u7sLlUolQkJCNLbF\nx8cLlUolunbtKn777Tf59eLiYuHv7y/c3NzE22+/Xet5R0dHi7y8vGqv5+bmigkTJgiVSiXmzZtX\nazpqS5YsEW5ubmLatGl6H1NUVCSGDBki+vfvL2bPnq3zuh8/flwsW7ZM7N+/XyQlJYmvvvpKuLm5\niUWLFumdl9r8+fOFSqUS+/fv1/uYmTNnCpVKJWbOnCmKioo0tu3atUu4ubmJrl27ioyMjBrTKS4u\nFsOGDRMqlUqsX79elJWVVduekJCg8Zqx3m8leRvruivJu7KKigoxYcIE4e3tLebPn1+nMhiad1VK\n7nNtpk+fLlQqlfjoo480Xl+7dq1wc3MTa9euNSh9Pz8/oVKpxOLFi6ud89dffy3c3NxE7969xaNH\nj7QeX9s1r2u9efv2beHv7y9+//13UVFRobHtwoULonv37vJ7VFVUVJRYvHix2LVrl9i5c6cYPXq0\n6NKli/j73/+usV9N9aaS61pWVibGjBkjjhw5IkpKSjTq7KtXr4pnn31WqFQqsWDBghrzFkKISZMm\nCZVKJZYsWSIKCws1tpWWlorY2Nhqx+zbt0+4ubmJ+fPnCyGU1dlKP6uWLl0q3NzcxNixYzWOE0KI\nsLAw0bVrV6FSqUR0dHQNV7A6BjJ/EvUHna4/yKioKPmDKyUlpdr2EydOCDc3NzFw4ECDyrFw4ULh\n5uZW7Y/17bffFiqVSvzrX/+qdkxqaqp45plnhEqlEjdu3FCc94ULF4Sbm5vo06ePXvs/evRI+Pj4\nCJVKJQ4fPqx3PkuXLhUqlUqEhYXVet0rU1dKf1Yg06NHD6FSqURMTIzW7UOGDBEqlUocO3asxnRW\nr14t3NzcxOLFi/XO21jvt5K8q1J63Q3Ne+vWrUKlUomdO3fWuQzGOG81pfd5VRkZGfL7VvWDwBiB\nTE5OjnBzcxMqlUrcv3+/2vby8nLRrVs3oVKpdAZxdb3mdfn71eabb74Rbm5uYsiQIbXuq/6Ar1o3\nCqG73jRWgFjZgQMHhJubm+jevbsoKyvTmffu3buFm5ubmD59ep3SrxrI1ERbnW3IZ9Xw4cOFSqUS\nv/76q9b8pk6dKlQqlQgKCqrDGQnBzr4NRExMDIDHK2+3adOm2va//OUvAB43QV+5ckVxPs8884yc\njlppaSlOnz4NABg+fHi1Y1xcXODt7Q0AOHbsmOK81U27+i7X/uuvvyI/Px/29vZ69ws4f/48goOD\nMWrUKL3W4HqSLCz0W/be0dFR57aysjL8+OOPkCQJ06ZN0ys9Y73fSvI2FkPzvnHjBlavXo3evXtj\n3Lhxf2reVSm5z7XZt28fKioq0KlTJ3h5eVXbbshjU0D/v1tA+z1ryDVXSr0AcOX6Tglt9aaaode1\nKnWZi4uLkZOTozPv7du31/vfnrY625DPKmPUeVrLWae9qd4UFhYCgM4+CZaWlrC0tMSjR48QFxen\ntaLSx61btwBA43nnH3/8gaKiIkiSpPW5OgB4eHggMjISCQkJivJ9+PAh1q5dC0mS9K6s9+7dC0mS\nMHLkSDRp0qTW/QsLC7FgwQK0aNGi7s9YjUAIgXPnziEpKQkPHz6Eg4MDvLy80K9fP60fAv369cOB\nAwewbt06rF69GpaWlvK2Xbt24datW1CpVOjRo4fOPOPj45GTkwNnZ2e0bdsWSUlJOHbsGLKysmBv\nb49evXqhX79+GpWtsd5vJXkbiyF5V1RUYP78+ZAkCcuXL/9T89amrve5LiEhIZAkCa+88orW7UII\nxMXFYdWqVcjLy5M7xA4cOBA2Nja1pm9tbY1evXrh4sWLWL16Nf71r3/JH3RCCKxZswbFxcUYMGAA\nnJ2dNY419Jor9ccffwDQrO+U0FZvqhl6XXWVuUmTJrC3t9ea971795CUlAQzMzP06NEDKSkpOHz4\nMFJTU2FtbY1u3bph0KBBNd5Pt2/fxurVq3H//n1YW1ujc+fOeP755+UgQledbchnVb9+/RAbG4vN\nmzejb9++sLe3l7eFhYXh/PnzaNGiRZ07/DKQaSCcnJwAAHfu3NG6PTs7G8XFxZAkSec+tcnOzsb+\n/fshSZJGZzx1ek2bNtU5UqVVq1Y1lq+qM2fO4ODBg6ioqEB2djYuX76MwsJC9OvXD++9916tx6em\npiIiIgIAMGbMGL3yXLlyJdLS0rB+/Xq9Oi4amyRJOHDggMZr4v+P6Pj000/x3HPPaWx7//33cf36\ndYSFhWHAgAHo3r273Nn3xo0bGDhwIJYuXQoTE90Np0lJSQAevz+rVq1CYGCgxvbNmzfD3d0d69ev\nR+vWrQEY7/1WkrexGJJ3YGAgYmJisGDBAq3fKOsz76qU3OfaXLhwAbdu3YK5uTlGjBihdR9JkhAa\nGorQ0FD5NSEE7OzssHDhQowaNarWfJYuXYqAgADs2rULoaGh8PDwgKmpKeLj45GZmYnRo0dj0aJF\n1Y4z9JorUVxcLLda1NT5uDa66k01Y1zXytT308CBA5GXl6c1b/U96ODggF27dmHlypUoLy/XyL9t\n27ZYt24d3NzctOZz6dIlXLp0Sf69oqICpqamcHNzg5OTk84625DPqunTpyMmJga///47Bg4cCG9v\nb7mzb1xcHHr27IlPP/1UYyFoffDRUgPRt29fSJKE+/fv48SJE9W279y5U/65oKCgzumXl5fjH//4\nBx48eAA3Nze89tpr8raHDx8CeDzkThf1Nwt9805OTkZISAh++uknhIeHo7CwEMOHD8eKFSv0ukn3\n7t0LIQQ8PT3RpUuXWvf//fffsWvXLrz00kuKhu8ZSqVSYeHChTh48CAuXryIM2fOYMuWLfD29sbd\nu3fx1ltv4cKFCxrHNGvWDN9//z38/PyQl5eHsLAwHDlyBNevX0erVq3Qp0+fWptYc3JyAABxcXEI\nDAzExIkT8euvvyIyMhJbtmxBhw4dEB8fj4CAALmiM9b7rSRvY1Ga99WrV7F27Vp4e3vj9ddf/1Pz\n1qau97kue/bsAQAMGjRI6zfltm3b4t1338X+/fsRERGBiIgI7NixAwMHDkRBQQE+/PBDHDx4sNZ8\nOnTogB9//BF/+ctfkJWVhZMnT+LYsWNITU3FU089BR8fn2qtEMa45kosWbIEd+7cgbOzMwICAhSl\nUVO9CRjvuqqtXbsWly9fho2NDd555x2deefm5sr/L1u2DIMHD8bBgwdx6dIl/Pjjj+jevTtSUlIw\nffp05OXlaeTRvHlzvPnmm9i1axfOnj2LixcvYs+ePfDy8kJ5eTni4+Nx5swZnXW2IZ9VVlZW2LBh\nA/7+97+juLgYZ86cweHDhxEfHy+PflLSesZApoFo27YtRowYASEEFixYgAMHDiAnJweZmZnYvHkz\nNm3aJDcT1vQNXZePPvoI586dg5OTE9asWaN1sU1jmjJlChISEhAbG4ujR4/igw8+wOnTp/HCCy8g\nMjKyxmPF/58XQZIkvb6lFhQUYOHChWjevDn+9a9/GesU6mTKlCmYNGkSOnbsCGtrazg5OcHX1xc7\nduzAoEGDUFpaik8//VTjmOvXr2PUqFEIDQ3FkiVLEBoaisjISGzfvh3NmjXDypUrMWPGDL2GBZeX\nl2P48OFYtGgR2rdvDxsbG/j6+mLLli2wsLDAtWvX8Msvv9TLuTeWvMvLyzF//nyYmppWey/qO29t\n6nqf61JQUICjR49CkiS8/PLLWvcZOXIkZsyYAZVKBTs7O3mo7oYNGzBx4kQIIbBixQqUlZXVmNfF\nixcxfPhwJCcnY9WqVThz5gwiIiKwceNGlJSUYMGCBRotMsa+5vpav349QkJCYGlpidWrV2s8wqiL\n2upNY11X4PGjwW+++QampqZYsWIFAgMDdeatrhPKy8vh7e2Nr776Ch07doSVlRW6deuG7777Ds2b\nN8fdu3exY8cOjXyee+45zJ07F56ennBwcIC1tTW6du2K3bt3y/PLNGnSBHPmzNFaZxvyWXX37l2M\nGzcOwcHBeOedd3D8+HFERUVh9+7d6Nq1K9atW4eJEyfKj6/0xUCmAVmyZAkGDx6M/Px8fPDBB/D1\n9UX//v3x5ZdfYsiQIfKkSHX9o1y2bBn27t0LBwcHbNmypdo8J+pvUEVFRTrTUH+Lr2uTn6mpKdq2\nbQt/f39s3rwZ+fn5eP/99+X5ErQJDw9HWloaLC0t8dJLL9Wax/Lly5GVlYVFixYprrDq05w5cwAA\niYmJyMzMBPC4Anr77beRkpKCZcuW4bXXXoOzszNsbGzQq1cvuSIKDw9HSEiIzrQrf/ut+m0RAFq3\nbi3fN2fPntU4xtD3W0nexqIk7w0bNiAhIQFz5sxB+/bt/9S8tanrfa7LL7/8gqKiIrRq1ara40t9\nzJkzB6amprh//z6io6N17vfgwQPMnj0bubm5WLduHV588UU4OTnBzs4O/fv3R2BgIKysrLB37175\ncZmxrnldbN26FWvXroWFhQXWr1+P7t27K0qntnqzNvpeVwA4fPgwFi5cCEmSsGzZMkREROhVZwPA\nq6++Wi09Gxsb+Pn5QQiB8PBwvcs8efJkODk5oaysDG3atNFZZyv9rPrggw8QFxeHd955BzNmzICr\nqyssLS3h4eGBjRs3okuXLkhMTJQnMtUX+8g0IFZWVli7di2io6Px22+/ISsrCw4ODnjuuefg4+Mj\n9/SvSxP0ypUr8cMPP8De3h5btmzROmmTq6srACA/Px+FhYVa+01kZGRo7KuEl5cXOnXqhOTkZMTE\nxKBnz55a91M3kw8dOlSvwOn48eMwNTVFcHAwgoODNbbdvHkTALB7926cOXMGLVq0wJdffqn4HJTo\n2LGj/HNGRgacnZ0RHR2N69evw8LCAoMHD652TNOmTdGvXz/s27cP4eHhOidBq9zfoG3btlr3adu2\nLYQQyMrKAmC891tJ3saiJO9jx45BCIGTJ09q9GcAHvdVAYBTp07Jjz+2b99utLy1qet9rou6s7Cu\n1pja2Nvbw8nJCdnZ2XKgrU1oaChycnLQvn17eHp6Vtvetm1beHl5ISIiAuHh4ejduzeOHz9ulGuu\nr+3bt+Ozzz6Dubk51q5di7/+9a+K0tGn3qyNvtf16NGj+Oc//wkhBD755BMkJSXVmnfl+66mexB4\n3AqiLxMTE7Rv3x65ubnIyMjAiBEjtNbZSj6rMjMzER4eDkmS8OKLL1bL28zMDEOHDsXVq1cRHh6O\n2bNn611uBjINULdu3dCtWzeN1x4+fIjExESYmpqib9++eqXz+eefIygoSP6DUA/rq6pDhw6wsrJC\ncXExYmNjtc4sGhsbC0mSdKahL3W/jPv372vdnpeXhxMnTtSpuV2SJJSXl9f4yCotLQ1paWkGBWJK\nqZ9nA//9JqUeSmlpaalzdIu6w3LVZ9yVde3aVT5ePZKmKnWfDnXexnq/leRtLEryliQJkiRpdHCs\n6t69e7h3716NI46Mcd5K7nNt1DP5mpiY1Djjb00qKirkvgw1vU/qe7amfbTds8a45voIDg7G8uXL\n5SBG6fQLf/zxB8LDw2utN2ujz3U9fvw45s2bh4qKCnz88ce4ceOGXnX2U089BRsbGxQWFsr3WlXq\n1+uy1Ajw3/pKXeaa6uy6fFZVHj6uK3DXp87Tho+WGong4GAUFxfjhRdekHuN1+SLL77Ali1b5D+I\nrl276ty3SZMm6N+/P4QQWjumpaamIioqCgC0th7o6/79+0hMTATw+A9Rm59++gklJSVo164dfHx8\n9Eo3IiICCQkJWv+pRwzMnTsXCQkJOH78uOLyK6XuJ2FrayuvuaL+8MvPz8ft27e1HhcdHQ1Jkmoc\n5dG8eXP5W5K2JuSysjJcuHABkiTJ36KN9X4rydtYlOQdEhKi8z6ZNWsWAGDs2LFISEhAfHy8UfOu\nSsl9rs3u3bsBPO6AqXQ00IkTJ2odjg8ALVu2BPC4lVNbJ/CysjL5uqnLYqxrXpudO3di6dKlsLCw\nwNq1a2tcm6gmQgikpqbqVW/WprbrevLkSbzzzjtyEHPr1i2962xTU1P87W9/gxBC5+NLdetH1UCj\nJnFxcfLwby8vL73q7Kp0fVZVDvh1zYWmfgRX13uZgUwDkpKSojXq3bNnD9asWQNHR0d88MEHtabz\n1VdfITAwEPb29vjuu+/0+mOcMWMGJEnCvn378Ntvv8mvFxcXY+HChaioqMDQoUNrXFTu+vXr+Pnn\nn7X2f7l58ybmzp2LkpISdO/eHZ07d9aaxr59+wz+lvpnS0xMxMmTJ6uNUBFCYPfu3fjqq68gSRIm\nT54sr7fUvXt3ODs7QwiBhQsXarzvQgh8++23uHz5MgDU2n9i1qxZEEJg06ZNGs/iy8vLsXLlSqSk\npMDW1lbjmhrj/Vaat7E05ryNcZ+XlZXh559/hiRJGDt2rM790tPT5cCpquPHj2PRokWQJAkjRoxA\ns2bNdKbTr18/uSVv0aJFGh0y1Z3Z09LS5EcEf5Zdu3bhk08+gbm5OdasWaM4iDly5AiAx4849Kk3\nDbmuYWFhmDt3rhzE3Llzp851dkBAAMzMzOSh8JUFBgbi4sWLMDU1xYQJE+TXi4uLERwcLPeBq1xn\nX7hwAXPmzIEkSejVqxdsbW111tlKPqtat24NT09PCCGwfPly+dGi2oEDB3Do0CFIkqRzoU9dJKHP\nkAiqs/j4eCxZskRuLr19+zZycnLQqlUrjch0/fr1aN68OQBg27Zt+Pe//w13d3e0bt0aQgjExsYi\nLS0NzZs3R2BgYK3Pak+ePIm33npL/hbQqVMnrfs5ODhUu9G2bduGlStXAgB8fHzQrFkzREZGIjs7\nG08//TSCg4NrXEQwIiICkydPhpWVFdzd3dGqVSuUlpYiLS0N8fHxEEKgU6dO2Lx5szxPSdVr9vLL\nL8PMzAynTp0yeBIr4L+rUmtbPffu3buYNWuW/B5lZGQgMzMTTk5OGs+dlyxZIs+uqc3x48cxe/Zs\n2Nvbw93dHc2aNcODBw9w7do1pKWlQZIkDB8+HJ999plGL/5z587hzTffRHFxMWxsbNCtWzfY2Ngg\nMTERt2/fhiRJmDlzJubOnVvreW7cuBFff/01TE1N4enpiRYtWiAuLg6pqamwsrLC119/Xa2p3dD3\nW2nexrruSs9bG/UqxnVZ/Vpp3sa6z48dO4Y5c+bA3t4ev/32m86ZdxMTEzFq1ChYW1vD3d0dzs7O\nKC4uRnJyMm7dugVJktC3b1988803NQ7JBx63JC1YsADl5eVwdHSEp6cnzMzMEBsbi8zMTJiammLx\n4sVaO6BWpe2a17XeTExMlB+pPf300zVOFKptEUP14o15eXlyfzoTExON+16lUsn1VeV6U+l1vX//\nPvr374+ysjK0atUK7du3l1tVHB0dNebA8vT0lGfD1VZnh4SEYOHChSgvL4eHhwdcXV1x7do13Lhx\nA2ZmZliyZIlGkPvgwQP4+PjA3Nwc7u7uMDc3x/nz5+WFM4HHj3fatGmDq1ev6qyzlX5WXbt2DVOm\nTEFOTg7Mzc3RrVs3ODo64saNG7h27Zo8MaS6XtIX+8jUk4KCAnkqZzVJkpCZmSl3/JIkSSOa9/b2\nxtChQ3HlyhX5TW3bti1mz54Nf39/vToE5uXlyZVAbGwsYmNjte7n6upa7Y9iypQp6NKlC7Zu3Yor\nV66gqKgIrVu3xpgxYzBjxoxan7V26tQJ8+bNQ2RkJG7cuIGEhASUlZXB3t4evr6+GDp0KEaPHq1z\ntkn1t9Rnn33WKEGMmq5n7yUlJVrfo5ycHPn5siRJtc6do1Kp4O/vj9jYWNy8eRNRUVEQQqBZs2Z4\n4YUX8PLLL2sdTdK3b1/8/PPPCAoKwtmzZ3Hp0iWUlZXByckJQ4YMwfjx4+Hr66vXOc6cORNeXl7Y\ntm0boqOjERsbixYtWmDMmDF44403tLasGPp+K83bWNdd6Xnrou5Doy+leRvrPld38vXz86tx+YBW\nrVphxowZiImJwa1btxAfH4/S0lI4Ojpi4MCB8PPz09r5UpsRI0bAzc0N27Ztk1c5Vk/6OHLkSEya\nNKlOjxGrXvO61pv5+fnyfjdu3MCNGzd05qMtkLly5YrGhzjwuG9L5daGs2fPymWsXG8qva5FRUXy\ncOyMjAyNviOV/wYAzUnntNXZo0aNkgONixcvIikpCQ4ODnjxxRfx97//vdp7YWlpiVmzZiE2NhY3\nbtzAvXv3YGJiAlNTU5iamkIIgZKSEty7d6/GOlvpZ1Xnzp1x8OBBBAUF4fTp04iNjUVJSQns7e3R\nr18/jBkzRlFrHltkiIiIqNFiHxkiIiJqtBjIEBERUaPFQIaIiIgaLQYyRERE1GgxkCEiIqJGi4EM\nERERNVoMZIiIiKjRYiBDREREjRYDGSIiImq0GMgQERFRo8W1lojof97Zs2cRFBSE2NhY5ObmyiuV\n/+1vf8O6deuecOmIyBAMZIjof1p4eDjeeOMNVFRUyIv/1WVxSCJq2BjIENH/tD179mgEMW3btoWb\nmxtMTEzg5eX1hEtHRIZiIENE/9Oys7MBAEIISJKEb7/9Fk899dSTLRQRGY0khBBPuhBERLqkpqZi\n0KBB8u+9e/dGYGAgtmzZgoMHDyIlJQWWlpbo06cP3nrrLahUKgDA66+/jgsXLtSY9sqVKzFq1CiU\nl5djz549OHLkCK5evYq8vDyYmJjA0dERzs7OcHd3R48ePTBixIh6PVciqju2yBBRo6B+NFRQUIAJ\nEyYgNjZWfq2kpARHjx5FaGgovvnmGzz77LMax1T+vqatf8ysWbMQGhpabZ/MzExkZGQgOjoav/76\nKwMZogaIgQwRNSrx8fGQJAkdOnSAi4sL4uLikJeXB0mSUFJSgvfeew+HDx9Gnz594OTkhIiICOTk\n5AB4HKD069cPlpaWAABXV1dcvnwZoaGhcvDStGlTeHp6wszMDFlZWUhLS0NeXt4TO18iqhkDGSJq\nNNT9XN544w289957AIDc3Fy8/vrrSE5OBgDk5+fjxx9/xOzZswFUf8S0ePFiuLi4yL8fPHhQI+2f\nfvoJzs7OGvkmJiYiKiqqXs+NiJThhHhE1KjY2NjIQQoAODg4YMaMGXIgAjwecq2vykENAHz22WcI\nCQnBpUuXcP/+fQCASqXC+PHjjVB6IjI2tsgQUaPSrl07WFhYaLzWuXNn+WchBNLS0vROz9vbG/36\n9cNvv/0GADh06BAOHTokb2/ZsiX++te/wt/fH25ubgaWnoiMjS0yRPR/3qZNm7BixQr0798fTk5O\nkCRJ/nf37l3s378fr7zyCmJiYp50UYmoCgYyRNSopKSkoKSkROM1df8Y4HGH3qqPi2oVfYTWAAAB\nxUlEQVQjSRJGjRqFjRs3Ijw8HBcuXMD+/fvx1ltvyY+sSktLsWPHDqOcAxEZDwMZImpUCgoKsH79\nevn3nJwcfPvtt5AkSR5m7evrq3d66enpCAoKQkpKivyara0tVCpVteHW6sn1iKjhYB8ZImo01J15\nN23ahKNHj8rDr3Nzc+V9mjZtWq1jbuUgp6q8vDysXLkSK1euhIuLC9q1awdbW1s8fPgQ0dHRAP47\noqlTp071dGZEpBQDGSJqVDw9PWFlZYWIiAjcvHlTY5u5uTn+/e9/w8nJSeN1fSYwlyQJ6enp1ToK\nq4OnNm3aYNq0aQaWnoiMjYEMETUqlpaW2LJlC4KCghASEoKUlBRYWFhUW6KgsppWvW7fvj1WrlyJ\nqKgoxMXFITs7G7m5uSgrK4O9vT06dOiAAQMGYNy4cbC1ta338yOiuuFaS0TUoKnXWlIHIT4+Pvj+\n+++fcKmIqKFgZ18iIiJqtPhoiYgaBTYeE5E2DGSIqMGr3LdFWz8XIvq/i31kiIiIqNFiHxkiIiJq\ntBjIEBERUaPFQIaIiIgaLQYyRERE1GgxkCEiIqJGi4EMERERNVoMZIiIiKjRYiBDREREjdb/A9By\nZWgQQnmCAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe7b3c5dc10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sb.barplot(data=pfs_event_freq, x='pfs', y='n', hue='snv_count_at_median')\n",
    "_ = plt.ylabel('N progression/mortality events')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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W5Nu5kmfnQr6dG0XWDsq4XE0ZuZoyfj17WWkzM1Hj6WaPr7tDrXDRATtriya4MyGEEEII\nIYQQdwoJEIUQ4i5hamODx8CBeAwcSOeqKgpPnCBn/36y9++n9Nd0Kk3MyLd1Ic/OlXw7VwqcW5Jn\n60IF1VWHlVod5y8XcP5ygcF1nWwt8XZ3wEf5x56WznaYmki1ohBCCCGEEELcCyRAFEKIu5Da1BSn\nbt1w6taN9jNmUJKWVh0mJidTcOwY6KpPZNEDxVb2FLq0ouy+rhS6eZGlNyersIya/S3yi6+QX3yF\no+cyleubmqjxdLXDx83harhYXa3oYGN5+29WCCGEEEIIIcQtJQGiEELcA2x8fLDx8cF3wgQqCgvJ\nPXCA7P37yT14ELtSDXYXNHDht+rOajU2XQPQBoVS7N2OzCoT5UTo0vJKAKq0OlIzC0nNLDR4Hwcb\nC7zdHPD1uLYM2tPVXqoVhRBCCCGEEKIZk0NUmiE5REUIcbPoKivJP3KkujoxKYkrmZlGfay9vXEN\nDcU1LIwqHz8u5JaQnl1IalYh6VkaLuUV0dB3EhO1ilYudvi4V1cr+ro74O1uj6ONJSqV6hbenRBC\nCCGEEELcG251ViQBYjMkAaIQ4lbQ6/WUpKSQnZRE9v79aE6dMupjameHa+/euIWF4RISgqmtLRWV\nWi7kVFcopmddCxaLr1Q0+H52Vub4eDgYLIP2dLXH3NTkVt2iEEIIIYQQQtyVJEAURiRAFELcDuW5\nueQkJ5OdnEzeoUPoyssNXldd3WfRtU8f3EJDsWrZUnlNr9eTX3yFtKxC5Z/0LA0Xc4vQNfBtR61S\n0dLFVgkVa6oVne2spFpRCCGEEEIIIeohAaIwIgGiEOJ205aXk3f4sHIQS0VurlEfWz8/XMPCcAsL\nw97fH5XaeN/DiiotF3OKqkPF7KvhYmYhRWUNVyvaWprjffWglpp/vFztMTeTakUhhBBCCCGEkABR\nGJEAUQjRlPQ6HZozZ5R9E4vPnjXqY+7kpOyb6BIcjImVVf3X0+spLCk3rFbM1pCRo0Grq/9blEoF\nLZxslWXQNXssutpLtaIQQgghxF/h7+9PXFwccXFxTT0VcRMcPHiQhx9+mPfee4+IiIimnk6zMnny\nZFQqFZ9++ikAGRkZ3H///bz++us88MADTTw7Q7c6K5JTmIUQQvwpKrUaB39/HPz9aTt1KlcyM8ne\nv5+c/fvJ++UX9FVVVOTnc3HHDi7u2IHa3BznoCBlqbOFq6vh9VQqHG0tcbS1JMDPQ2mv0uq4mFt0\n3TLoQgpKqpdS6/VwKa+YS3nFHDiVoYyztjCrrlZ0q1Wt6GaPpbl8yxNCCCHEveO///0vc+fOBSA+\nPp6goCCjPgMGDCAzM5OBAweybNkypV2lUskvZK+qrKwkPj6eTZs2kZaWhlqtxsPDg6CgIKZMmUKb\nNm2Aa8/bwsKCPXv24O7ubnCdyZMnU1BQwNatWzl58iRjx45lxowZzJo1q873TU1NZejQoUyZMoU5\nc+b85fuQr+fNc68+S/mvKSGEEH+JpYcH3mPG4D1mDFWlpeT+9BM5+/eTk5xMpUaDrqKCnB9/JOfH\nH/kNsO/QQVnqbNuuXb3fgE1N1EoAWFthyRXSszTXlkBnFZKRU0SVVgdAaXklp9NzOZ1+bZm1CnB3\nsjFYAu3j5oCrozXqe/QHACGEEELcGywtLdm2bZtRgHjw4EEyMzOxsLAwGnPkyBFMTSUuAHj88cf5\n4YcfiIqKIjo6mqqqKs6dO0diYiJBQUFKgFijoqKCFStW8MILL9R7zU6dOuHn58f27dvrDRC3bt2K\nSqVi9OjRN+U+ZPHpzeHp6cmRI0cwMzNr6qncdvJvBCGEEDeNqbU1HgMG4DFgAHqtlsITJ8hOTiY7\nKYnStDQANKdPozl9mnOffIKFuztuYWG4hobi3L07anPzG76Hg40lDm0s6dLm2m91q7Q6LucVG1Qr\npmUXkl90BQA9kJlfQmZ+CT+dvqiMszQ3xdvNcG9Fbzd7rCzuvR8IhBBCCHF36t+/Pzt37uSFF15A\nXWuP6m3bttGlSxfy8/ONxpg34meye8GxY8dITEzkySefJCYmxuC1l156CY1GYzSmY8eObNy4kdjY\nWNzc3Oq99siRI3nvvfc4evQoAQEBRq9v374dPz8//P39//qNiJvqXv3/h/EO90IIIcRNoDIxwTEg\ngPaxsYR9+ilhn39O+5kzcQoMVA5YKc/K4sKmTfw6Zw7fjR7N0Zde4uLOnVQUFPyp9zI1UePlZk9Y\nZ28mhHfh2Qf7sDRuOMtmjWDe3/oxeXAAAwJ8adPCETOTa9/6rlRU8XtGHl//ksInu37ln599x9/f\n2co/PtzF4i+T+WLfSQ7+lsHlvOIGT48WQgghhLgTqVQqoqKiKCgoICkpSWmvrKxk165dREVF1VmZ\n5u/vz9KlS5W/l5SUsGjRIgYNGkTXrl0JCwtj6tSpnDp1SumTmprK448/Tt++fQkICGDAgAE8+eST\nFBcXG1x78+bNjB07lm7dutGrVy+efPJJLl++bNBn8uTJjBw5krNnzzJ58mQCAwPp378/H330kdFc\nP/vsM6KioggMDKRnz56MGzeO7du3G/TJzMxk7ty59OnTh65duxIVFcWXX355w+eXnp6OSqWqc/m3\nSqXCwcHBqC02NhatVsuKFSsavPbIkSPR6/Vs3brV6LUTJ06QkpLCqFGjGrxGYWEhb7zxBiNHjqR7\n9+4EBwfz2GOP8dtvv9U5X61WyzvvvEPfvn3p3r07M2bMMHr2AAkJCcrXqHfv3jzzzDNkZmYqr3/8\n8cf4+/tz6dIlo7Fvv/02Xbp0oaioSGk7cuQI06ZNo0ePHgQGBjJ58mR+/vnnBu8Nqqtk/f39SUhI\nYOnSpfTv35+goCCeeOIJiouLqaioYNGiRYSFhdG9e3fmzp1LZWWl0XUa85kDWL9+PUOGDKFbt25E\nR0dz6NAhoz4ZGRn4+/uzadMmpe306dPMnTuXwYMHExAQQN++fZk3bx4F1/03zZIlS/D39yctLY3n\nnnuOkJAQevTowdy5cykvL7/h82hqUoEohBDitrD28sI3Ohrf6GgqNRpyDhyoXup88CDakhK0ZWVk\n7dtH1r59oFbj0KkTbn364BYWhrWPz/+014idtQWdfd3o7Hvtt79aXU21oob0WsugczVlSp+sghKy\nCko4dObaD0UWZiZ4udnje/WwlppqRRvLe/M3kEIIIYRoHjw9PenWrRvbt2+nX79+AHz33XcUFxcz\nYsQI5XCIhrz00kvs2bOHSZMm0bZtWwoKCjh8+DBnz56lY8eOVFZWMnXqVKqqqpg8eTKurq5kZmaS\nmJhIUVERtra2AHz44Ye89957DB8+nOjoaPLy8vjss8+YNGkSmzZtUvpBdTj22GOPMWTIEEaMGMGu\nXbt4++236dChg3IfGzZsYNGiRURGRvLII49QXl7O6dOnOXLkCCNGjAAgNzeX6OhoTExMmDx5Mk5O\nTuzbt4/nn3+ekpISHn744Xrvu1WrVuj1erZs2UL37t0xMTG54bPy8vJi9OjRbNy4kZiYmHqrEL28\nvOjevTsJCQnMmzfP4GfdmuXLNfdQn/T0dL755huGDRuGl5cXOTk5rF+/nocffpjt27cbvLder+fD\nDz9ErVbz2GOPkZeXx+rVq5kyZQqbN29Wquq++uor5s2bR7du3XjqqafIzc1lzZo1/PLLL8rXKDIy\nkrfeeouEhASmTp1qMKedO3fSr18/7OzsAEhOTiYmJoYuXboQFxeHWq3mq6++4pFHHiE+Pp6uXbve\n8JmuWLECS0tLYmNjSU1N5fPPP8fMzAyVSkVRURGPP/44R44cYdOmTXh7ezNz5kxlbGM/cxs3bmT+\n/PkEBwfz6KOPkp6ezsyZM3FwcKBly5YNzm///v1cuHCBcePG4erqyh9//MH69es5e/Ys69evV/rV\nfI1nz56Nl5cXTz31FCdPnmTjxo24urry1FNP3fBZNCUJEIUQQtx2Zvb2tBwyhJZDhqCrrKTg6FHl\nIJayS5dAp6Pw+HEKjx/nj+XLsfL0rF7qHBaGY9euqP/CnjwmajWervZ4utoTipfSXlJWQVq2hvSs\nQlKvHtiSnq2hokoLQHmllrMX8zl70XCZj6uDNT5u9ni7OyjhYgsnW9Rq2VtRCCGEaM6qiospuboF\nS1Oy8fHBtFaw9r+Iiopi8eLFVFRUYG5uzrZt2wgJCWlwiW1t+/btIzo6mmeffVZpmzZtmvLns2fP\nkpGRwZIlSxgyZIjSXjvIuXjxIkuXLuUf//iHwXLgiIgIHnjgAeLj4w3as7OzefPNNxk5ciQA48aN\nIzw8nC+++MIgCG3fvj2LFy+ud+7vvPMOer2eTZs2YW9vD8CDDz7IU089xdKlS5kwYUK9S1IDAwMJ\nCQlh48aNfPPNN/Tq1Yvg4GDCw8MbDJWmT5/O5s2bWblyJfPmzau338iRI3n55ZdJTk4mLCwMqA76\nEhISCAwMxMvLq96xAB06dGDXrl0GbaNHj2bYsGF88cUXzJgxw+A1jUZDQkICVlZWQPVy69mzZ7Nh\nwwYmTZpEVVWVEtJ+9tlnynMJCgoiNjaW1atXExcXR8uWLenWrRs7duwwCBCPHj1Keno6TzzxhNK2\nYMECQkNDDSoyJ0yYwPDhw/n3v//NqlWrGrxHAK1Wy+eff64EuLm5uezYsYP+/fuzfPlyACZOnMj5\n8+f58ssvlc9dYz9zVVVV/Pvf/6ZTp06sWbNG2f+zbdu2vPjiizcMEB966CGmTJli0FYTwB4+fJjg\n4GCD1zp37szLL7+s/D0/P58vvvhCAkQhhBCiIWozM5yDg3EODua+uDhKUlLITk4mJymJwlOnQK+n\nLCODtI0bSdu4EVNbW1x798Y1NBSXnj0xu/rbzb/Kxsqcjj6udPS5dkq0TqcnM79YCRZrqhWzC0uV\nPjmFpeQUlvLzH9eWQZibmuDlaoePhwPetU6DtrWSakUhhBCiOagqLuaHCROoum75bVMwtbWl77p1\nfylEjIyM5LXXXuPbb7+lb9++JCYm8uKLLzZ6vJ2dHUeOHCErK8vodGFAqeL6/vvv6devH5aWlkZ9\ndu/ejV6vJzIy0mDfRWdnZ3x9fTlw4IBByGNtba2EhwBmZmYEBASQnp6utNnb25OZmcmxY8fqrWTb\ns2cPkZGRaLVag/ft06cPO3bs4MSJE3Tv3r3ee//444/5+OOP2bJlCzt27GDHjh0sXLiQyMhIFi5c\nqFTa1ebt7c2oUaPYsGEDMTExuLq61nFlGD58OK+++ipbt25VAsQDBw6QmZnJ9OnT651T7WdSQ6fT\nodFosLS0pE2bNpw8edKo/wMPPKCEhwDDhg3Dzc2N7777jkmTJnHs2DFyc3N54oknDELVAQMG4Ofn\nR2JiInFxccrcX3vtNdLT0/H29gaqlz5bWFgwaNAgAE6dOkVqaiozZ840ePZ6vZ7Q0FC2bNlyw3sE\nGDNmjEH1Z014OW7cOIN+3bp14/PPP0en06FWqxv9mau579mzZxscHjRmzBjefPPNG86v9rOqqKig\npKSEgIAA9Ho9J0+eNAgQVSoVDz74oMH44OBg9u7dS0lJCTY2No16Jk1BAkQhhBB3DJVKha2fH7Z+\nfrR56CHK8/KqT3Dev5/cQ4fQXblCVXExl/fu5fLevdX7LHbrplQnWrdqdVPno1araOliR0sXO3r5\neyrtpVcqSc/RkJZZYBAulldWVytWVGk5d7mAc5cN9z1xtrPCx/3aoS3e7g60dLbFRC1bEgshhBDi\n1nF2diY0NJRt27ZRVlaGTqdj6NChjR7/zDPPMHfuXAYOHEjnzp0ZMGAAo0ePVoIjLy8vpkyZwurV\nq9myZQvBwcEMGjSI0aNHK+FiamoqOp3OoEKxhkqlMjrVtkWLFkb9HBwcOHPmjPL3v//97yQnJzN+\n/Hh8fX3p06cPUVFRyp6FeXl5aDQaNmzYYLCUtPb75ubmNnjvZmZmxMbGEhsbS05ODgcPHuTTTz8l\nISEBMzOzegOmGTNmsGXLFlasWFFvFaKjoyN9+/Zl7969/POf/1SqQ01NTRk2bFiD84LqIG7NmjWs\nXbuWCxcuoNVqlftycnIy6u/r61tnW0ZGBgCXLl1CpVLRunVro35+fn4G+xYOGzaM119/nYSEBCX4\n3bVrF/1k3MynAAAgAElEQVT791dCsPPnzwMwZ86cOuevVqspKiqqM4St7frPQk3/utp1Oh1FRUU4\nODg0+jNXc98+Pj4GfUxNTZXPeEMKCwtZsmQJCQkJBp+nmiXW12t13X+z1OylqdFoJEAUQggh/hcW\nzs54Dh+O5/DhaMvLyf/lF7KTkshJTqY8Jwe9Vkv+zz+T//PPnFm6FJvWravDxD59cPD3R9WIfWr+\nF9aWZnTwcqGDl4vSptPryS4ouVqlqCHt6jLozIISpU9eURl5RWX8evbaJtRmJmo83ezxue40aDtr\ni1sydyGEEELcWE3V392yhBmqlzG/+OKLZGdn079/f4P9Bm8kMjKSkJAQ9uzZQ1JSEqtWrWLlypUs\nXbpUWU48Z84cxo4dy9dff01SUhKLFi1ixYoVbNiwAQ8PD6Uq7KOPPqpzb+vrgxN1Pb9grX3oS9u2\nbdm5cyfffvst33//Pbt37yY+Pp64uDji4uLQ6XQAjBo1igceeKDO63Xo0KHRz8HV1ZXhw4cTERHB\niBEjSEhI4PXXX69zrt7e3owcOZINGzbw2GOP1XvNUaNGkZiYSGJiIuHh4ezZs4e+ffvWGQBer2Z/\nv/HjxzNr1iwcHR1RqVS8+uqryr3fKu7u7gQHBysB4i+//MLFixd55plnlD41X6vnnnuu3udsbW19\nw/eqb+/J+tpr3vfPfub+V7NmzVIOivH398fGxgadTse0adPq/Do05rN9J5IAUQghRLNgYmFRvXS5\nd2/0ej1FZ84o+yYW/f47ACXnz1Ny/jzn4+Mxc3TENTQUt7AwnIODMW3EDyd/hVqlwsPJFg8nW0I6\nXKtWLCuv5EK2hrTs6mAxPauQtOxCysqrAKjU6jh/uYDz11UrOtpaVoeKHo7KHoutXOwwNZFqRSGE\nEOJ2MLW1xaFTp6aexk0zZMgQ5s+fz5EjRxrcM7A+rq6uTJw4kYkTJ5KXl8eYMWNYtmyZEiACtG/f\nnvbt2zN9+nR+/fVXJkyYwLp165g1axY+Pj7o9Xo8PT3rrIT7X1laWhIZGUlkZCRVVVXExcWxbNky\nYmJicHZ2xsbGBq1WS2ho6E17T1NTUzp06EBaWhr5+fm4uLjU2W/mzJls3bqVlStX1nut+++/Hxsb\nG7Zt24aJiQmFhYU3PH25xu7du+ndu7fBfnpQXclWVwBZUxFYW2pqKv7+/sC1Q2NSUlLo1auXQb+U\nlBSjyrnhw4ezcOFCzp8/z44dO7CysiI8PFx5vaZ6z8bG5qY+/8Zq7Geu5r5TU1MN7ruqqooLFy4o\nz6cuGo2GH3/8kVmzZhnsOZmamnpzbuIOIgGiEEKIZkelUmHfoQP2HTrQdsoUrmRlkZOcTPb+/eT9\n/DP6ykoqCwq4lJDApYQE1GZmOAUFVVcnhoZiWcfePbeKlYUZ7b1caF+rWlGv15NTWFodKmYWKsug\nL+cVU/N7x4LiKxQUX+FoSpYyzkStwtO1plLxWsWig43xPkNCCCGEELVZW1uzYMECMjIylD3qGkOn\n01FaWmpQsejs7Iy7uzsVFRUAFBcXY2VlZVAR1q5dO9RqtdInIiKCd955h6VLl/LWW28ZvU9BQQGO\njo5/6p6uH2Nqaoqfnx/ff/89VVVVmJubExERwfbt2/n9999p3769wfi8vDycnZ3rvX5qairm5uZG\nh2hoNBp++eUX7O3tGxxfU4W4fv16WrVqZbC/Xg0LCwuGDBnCjh07KC0txdrautFfH7VabVS1lpCQ\nQGZmZp2B2ebNm4mJiVEq7xISEsjOziY2NhaALl264OLiwrp16xg3bpyyxPe7777j7Nmzyv6HNYYO\nHcorr7zCtm3b2LVrF+Hh4Qb7X3bp0gUfHx9WrVrFiBEjjKoNb/T8/6rGfua6dOmCs7Mz69atY+zY\nscrX6auvvkKj0TT4HjXVhNdXGq5evbrOqsfmTAJEIYQQzZ6luzteo0fjNXo0VaWl5B0+XL3U+ccf\nqSwoQFdZSe6BA+QeOACLF2N3333V1Yl9+mDXvv1t/+auUqlwc7TBzdGG4PbXfpN7paKKjByNwTLo\ntOxCSq9UAqDV6ZWDXGqzt7aotfy5Olhs5WKHmemtWcIthBBCiObh+nCpvmW8DSkpKaF///4MGzaM\nDh06YGNjQ1JSEsePH+e5554D4Mcff+Tll19m2LBhtG7dGq1Wy6ZNmzAxMVH2WvT29mbWrFksXryY\nCxcuMHjwYGxsbEhPT2fv3r1MmDDB6CTbG5k6dSpubm4EBQXh4uLC2bNn+c9//sPAgQOVsOrpp5/m\n4MGDREdHM378eNq1a0dBQQEnTpzgxx9/5MCBA/Ve/7fffuOpp56if//+9OjRAwcHBy5fvszmzZvJ\nycnh+eefN/g5sq4lqDV7IaakpBgFmDVGjRrFpk2b+OGHHxg1alSdh9DUJTw8nA8++IC5c+cSFBTE\n6dOn2bp1q9FefjUcHBz429/+xtixY8nJyeHTTz+ldevWjB8/HqgOYJ9++mnmzZvHpEmTGDFiBDk5\nOXz22Wd4e3vz6KOPGlzP2dmZXr168cknn1BaWsrw4cMNXlepVLzyyivExMQQFRXF2LFj8fDwIDMz\nkwMHDmBra8uHH37YqHu9XmOW+zb2M2dqasrs2bOZP38+Dz/8MMOHD+fChQt89dVX9T7LGra2toSE\nhPDRRx9RWVmJh4cHSUlJZGRk3PFLkv8sCRCFEELcVUytrXHv1w/3fv3Qa7UUnjpFzv79ZO/fT8nV\nZRtFZ85QdOYMKWvWYOHqimtYGG5hYTh1746JRdPtPWhpbkrbVs60bXXtN7F6vZ68ojJSMwtJz74W\nLF7KK6LmZxJNaTnHz2dx/LxhtWJLFzt83Bzw8XBQ9lh0tLW8634bKoQQQoi6NeZ7vkqlMupXu83S\n0pKHHnqIpKQk9uzZg06nw9fXlwULFiinyfr7+9OvXz8SExPJzMzE0tISf39/PvroIwICApTrxsTE\n4Ofnx+rVq3n//fcBaNmyJf369TOquqtv7rXbJ06cyJYtW1i9ejWlpaW0aNGCRx55xOAEYxcXFzZu\n3MgHH3zA3r17Wbt2LY6OjrRv395gv766hISEMHv2bPbt28fq1avJy8vDxsaGTp068eyzzzJ48OAb\nztnHx0cJCOu7p969e+Pm5kZubq7BydM3EhsbS1lZGdu2bWPnzp107tyZlStX8q9//avOr2lsbCyn\nT59m5cqVlJSUEBYWxvz587Go9fPvmDFjsLKyYsWKFbz99ttYWVkRERHBU089Vee+mZGRkSQnJ2Nr\na0v//v2NXu/Zsyfr1q3jgw8+4D//+Q+lpaW4urrSrVs3o9OI69KYz0FDGvuZi46ORqfTsWrVKt56\n6y3uu+8+PvzwQ9599906n2Vtb7/9Nq+88gpr165Fr9fTt29fVq5cSb9+/e6qn7tV+rstEr0H3H//\n/QB8/fXXTTwTIYRoXkozMqrDxORkCn79Ff11Sw1MLC1x7tEDtz59cO3dG/NGbF7dVCoqtdXVirWW\nQadlFlJ8paLBcXZW5soJ0DXVip6u9phLtaIQQgghhBDN1q3OiiRAbIYkQBRCiL+usqiI3IMHyd6/\nn9wff6SqpMSwg0qFQ6dOSnWiTevWd/xvEPV6PQXFV0i9egJ0TbXixdwidA18u1erVLRwtsX3umDR\n2c7qjr9nIYQQQgghhASIog4SIAohxM2lq6qi4Nix6n0T9++n7OJFoz5WLVtWh4l9+uAYEIC6jk2w\n71SVVVoycotIzyq8Gi5WB4ua0vIGx9lYmlVXK7o54OvhgLebPV5u9liYNZ97F0IIIYQQ4l4gAaIw\nIgGiEELcOnq9npLUVGXfxMITJ+C6b5WmNja49OqFW1gYLr16YWZn10Sz/WsKiq+QllW9t2L1Hosa\nMnI0aHX1/2igAlo42163DNoRV3upVhRCCCGEEKKpSIAojEiAKIQQt09Ffj45P/5IdnIyeQcPor1y\nxeB1lVqNY0AArn364BYairWXVxPN9Oao0uq4mFuknPacfvV/C0oarla0sjDFx606VKxZCu3tZo+l\nuVQrCiGEEEIIcatJgCiMSIAohBBNQ1teTv6vvyrVieXZ2UZ9bHx9lX0THTp1QmVydxxOUlhyhfRs\nTa1l0IVcyCmiSqurd4wKcHeyMVgG7ePmgKujNWqpVhRCCCGEEOKmkQBRGJEAUQghmp5er6fojz+q\nw8SkJIrOnDHqY+bggGvv3riGheESEoKptXUTzPTWqdLquJxXXF2tmF2ohIv5RVcaHGdpboq3W/VB\nLT61qhWtLcxu08yFEEIIIYS4u0iAKIxIgCiEEHeeK9nZ5CQnk7N/P3mHD6OrrDR4XWVmhnNgYPVS\n57AwLN3dm2imt15RaTnp2RqDZdDpORoqq+qvVgRwc7TGx81BCRZ93B1wd7KRakUhhBBCCCFuQAJE\nYUQCRCGEuLNpy8rIPXyYnP37yUlOpiI/36iPbbt2uF1d6mx3332o1OommOnto9PpuZxfrISKNf/k\nasoaHGdhZoJXTbWi27WDW2wszW/TzIUQQgghhLjzSYAojEiAKIQQzYdep0Nz6hTZV/dNLElJMepj\n7uKCW1gYrqGhOAcHY2Jh0QQzbRolVyqqqxUzq5dBp2UVciFbQ3mltsFxLvZWBpWKPu4OtHCyRa2W\nakUhhBBCCHHvkQBRGJEAUQghmq+yS5fI3r+fnKQk8o8cQa81DMrUFhY49+hRHSj27o2Fi0sTzbTp\n6HR6sgpKDKsVswvJLihtcJyZqRpvV/urVYrX/rG1kmpFIYQQQghxd5MAURiRAFEIIe4OVcXF5Bw8\nWL3U+cABqoqKjPrYd+xYvdS5Tx9s2rRBdQ/vB1haXqmcBK3sr5it4UpFVYPjnOws8b16WEvNHost\nXWwxucuXjQshhBBCiHuHBIjCiASIQghx99FVVVF4/Hj1UuekJMoyMoz62LRuTbdFi7D29GyCGd6Z\ndHo9OQWlpGUXkppZSPrVZdCZ+SUNjjMzUePpaoe3u8O1cNHdAXvre2f5uBBCCFEff39/4uLiiIuL\na+qpiAb897//Ze7cuXz55Zd07tz5plxzyZIlvP/++/z222835XrNVV3PYdCgQfTq1YvXXnutCWdW\nv1udFZnekqsKIYQQ4k9Rm5riFBiIU2Ag7WfMoDQtjezkZHKSkig4cQJ0OkrOn+e3f/+boLfeaurp\n3jHUKhXuTja4O9nQ475WSvuViiqjasW07ELKyqurFSu1Os5nFnI+s5Dva13P0cYCn1qBoo+7A61c\n7DA1kWpFIYQQzUtNuAQQHx9PUFCQUZ8BAwaQmZnJwIEDWbZsmdKuUqnu6VUPtVVWVhIfH8+mTZtI\nS0tDrVbj4eFBUFAQU6ZMoU2bNsC1521hYcGePXtwd3c3uM7kyZMpKChg69atnDx5krFjxzJjxgxm\nzZpV5/umpqYydOhQpkyZwpw5c+qd383+OsnXvlpdz+FefzYSIAohhBB3GJVKhY2vLza+vrSeMIGK\nggLOffIJFzZvJu+nn8j96SdcQkKaepp3NEtzU9p7OtPe01lp0+v15GjKSMsqIC3rWrh4Oa+YmuUY\nBSXlFKRkcTQlSxlnolbh6Xr1JGh3e7yvLoN2tLW8zXclhBBC/HmWlpZs27bNKEA8ePAgmZmZWNRx\neNuRI0cwNZW4AODxxx/nhx9+ICoqiujoaKqqqjh37hyJiYkEBQUpAWKNiooKVqxYwQsvvFDvNTt1\n6oSfnx/bt2+vN0DcunUrKpWK0aNH39T7Ef+7nTt3or6Ht8CRfyMIIYQQdzhzR0faxcaStW8fFfn5\n/L5sGc5BQahMTJp6as2KSqXCzcEaNwdrgttfq1Ysr6ziQraG9GyNsgw6NauQ0iuVAGh1eqWKsTZ7\n65pqRXt83R3ocV8rrCzMbus9CSGEEDfSv39/du7cyQsvvGAQfmzbto0uXbqQn59vNMbcXA4gAzh2\n7BiJiYk8+eSTxMTEGLz20ksvodFojMZ07NiRjRs3Ehsbi5ubW73XHjlyJO+99x5Hjx4lICDA6PXt\n27fj5+eHv7//X78RcVOYmd3bP+fdu9GpEEII0YyYWlvjN2UKAMVnz3Jp9+4mntHdw8LMlLatnBnY\nrTWPRHTjhYf6s2J2FO/9v2E8PT6U6AGdCe3oRSsXO2qvWtGUlnP8fBYJB/9g2bbDvLfpYNPdhBBC\nCFEHlUpFVFQUBQUFJCUlKe2VlZXs2rWLqKgo6joWwd/fn6VLlyp/LykpYdGiRQwaNIiuXbsSFhbG\n1KlTOXXqlNInNTWVxx9/nL59+xIQEMCAAQN48sknKS4uNrj25s2bGTt2LN26daNXr148+eSTXL58\n2aDP5MmTGTlyJGfPnmXy5MkEBgbSv39/PvroI6O5fvbZZ0RFRREYGEjPnj0ZN24c27dvN+iTmZnJ\n3Llz6dOnD127diUqKoovv/zyhs8vPT0dlUpV5/JvlUqFg4ODUVtsbCxarZYVK1Y0eO2RI0ei1+vZ\nunWr0WsnTpwgJSWFUaNG3XCOAGVlZbz00kv06tWL4OBg5syZU2e4+d133/HQQw/RvXt3goKCiI2N\n5Y8//rjh9bVaLe+//z5Dhgyha9euDBo0iMWLF1NRUaH0ef311+nVq5fBuJdffhl/f38+//xzpS03\nNxd/f3/WrVvX4Hv6+/vzyiuvsHPnTkaMGEG3bt2YMGECZ86cAWDdunVEREQQEBDA5MmTuXjxotE1\njhw5wrRp0+jRoweBgYFMnjyZn3/+2ajfoUOHGDduHAEBAURERLB+/fo65zRo0CBlWwCAwsJC3njj\nDUaOHEn37t0JDg7mscceM9o/8uDBg/j7+5OQkMCHH37IgAEDCAgI4NFHHyUtLa3B53AnkQpEIYQQ\noploNXw46V9+SUlqKmdXrcIjPBwTS1lGeyuoVCpc7K1xsbeme7uWSntFpZaMXM3VisTqZdApmQWU\nXqnkdHoOOr0e9T28N44QQog7j6enJ926dWP79u3069cPqA6SiouLGTFiBJ9++ukNr/HSSy+xZ88e\nJk2aRNu2bSkoKODw4cOcPXuWjh07UllZydSpU6mqqmLy5Mm4urqSmZlJYmIiRUVF2NraAvDhhx/y\n3nvvMXz4cKKjo8nLy+Ozzz5j0qRJbNq0SekH1eHMY489xpAhQxgxYgS7du3i7bffpkOHDsp9bNiw\ngUWLFhEZGckjjzxCeXk5p0+f5siRI4wYMQKoDqyio6MxMTFh8uTJODk5sW/fPp5//nlKSkp4+OGH\n673vVq1aodfr2bJlC927d8ekEas/vLy8GD16NBs3biQmJqbeKkQvLy+6d+9OQkIC8+bNM9hbr2b5\ncs09NESv17Nw4UIcHBx44oknSElJIT4+nosXL/LZZ58p/TZt2sTcuXPp168fTz/9NFeuXGHt2rU8\n9NBD/Pe//6VVq1b1vsfzzz/Ppk2biIyMZOrUqRw9epTly5dz7tw5lixZAkCPHj1Ys2YNf/zxB+3a\ntQPg8OHDmJiYcOjQISZNmgTATz/9hEqlIqQR2/H89NNPfPPNN/ztb38DYPny5UyfPp1p06axbt06\n/va3v6HRaFi5ciXz5s1j9erVytjk5GRiYmLo0qULcXFxqNVqvvrqKx555BHi4+Pp2rUrAGfOnOHv\nf/87zs7OPPHEE1RVVbFkyRJcXFxuOL/09HS++eYbhg0bhpeXFzk5Oaxfv56HH36Y7du3G33tV65c\niVqtZtq0aRQVFfHRRx/xzDPP1BtY3mkkQBRCCCGaCbWpKe1iYzkybx7lOTmkffEFba7+MCZuD3Mz\nE9q0cKJNCyelLfnkBZZuPkh5pZacwlLcHW2acIZCCCFultIrlVzMLWrqadDKxQ5ry7+2dDIqKkqp\nGDM3N2fbtm2EhIQ0uMS2tn379hEdHc2zzz6rtE2bNk3589mzZ8nIyGDJkiUMGTJEaZ85c6by54sX\nL7J06VL+8Y9/GCwHjoiI4IEHHiA+Pt6gPTs7mzfffJORI0cCMG7cOMLDw/niiy8MgtD27duzePHi\neuf+zjvvoNfr2bRpE/b29gA8+OCDPPXUUyxdupQJEybUu2Q7MDCQkJAQNm7cyDfffKNU+IWHh9Oy\nZcs6xwBMnz6dzZs3K8FWfUaOHMnLL79McnIyYWFhQHUgmJCQQGBgIF5eXvWOrc3CwoLVq1crAWfL\nli3517/+xbfffkt4eDilpaW8+uqrREdH889//lMZN2bMGIYOHcqyZctYuHBhndf+7bff2LRpE9HR\n0UqfiRMn4uTkxCeffMLBgwfp2bMnQUFB6PV6Dh06RLt27SguLubMmTMMHTqUn376Sbne4cOHcXBw\noG3btje8r/Pnz7Nz507lWdvb2/PSSy+xbNkydu/ejZWVFYBS8Xnx4kUlCF2wYAGhoaEGlaATJkxg\n+PDh/Pvf/2bVqlUAvPvuuwCsXbsWDw8PoPozWfO5a0iHDh3YtWuXQdvo0aMZNmwYX3zxBTNmzDB4\nraKigs2bNytfJ3t7e1599VWD0PVOJgGiEEII0Yy4hobi2K0bBUeOcD4+Hs8RIzB3crrxQHHLeLnZ\nKX++kK2RAFEIIe4CpVcqmfXhTmU/3KZkbWnGuzOG/aUQMTIyktdee41vv/2Wvn37kpiYyIsvvtjo\n8XZ2dhw5coSsrCyj04UBpXLw+++/p1+/fljWsUJi9+7d6PV6IiMjDfZddHZ2xtfXlwMHDhgEiNbW\n1gYhjpmZGQEBAaSnpytt9vb2ZGZmcuzYMaWi7Hp79uwhMjISrVZr8L59+vRhx44dnDhxgu7du9d7\n7x9//DEff/wxW7ZsYceOHezYsYOFCxcSGRnJwoULsbOzMxrj7e3NqFGj2LBhAzExMbi6utZ57eHD\nh/Pqq6+ydetWJUA8cOAAmZmZTJ8+vd45Xa+mwrLGxIkTWbx4Md999x3h4eEkJSVRVFTEiBEjjPa8\nDAgI4MCBA/Vee9++fahUKh599FGD9qlTp/Lxxx+TmJhIz549cXZ2xs/Pj59++okJEyYo1YfTpk0j\nISGBtLQ0fHx8OHz4MMHBwY26r9DQUIOgtmavyKFDhyrhYe329PR0WrVqxalTp0hNTWXmzJkG96vX\n6wkNDWXLli0A6HQ6kpKSGDx4sBIeAvj5+dG3b1/27dvX4Pxq74mo0+nQaDRYWlrSpk0bTp48adR/\n3LhxBl+nHj16oNfrSU9PlwBRCCGEEDeXSqXivhkzODh9OtrSUs6tWYP/7NlNPa17WktnO0zUKrQ6\nPRk5GoLa11+RIIQQQjQFZ2dnQkND2bZtG2VlZeh0OoYOHdro8c888wxz585l4MCBdO7cmQEDBjB6\n9Gi8vb2B6uW4U6ZMYfXq1WzZsoXg4GAGDRrE6NGjlXAxNTUVnU5nUKFYQ6VSGR1Q0aJFC6N+Dg4O\nyh54AH//+99JTk5m/Pjx+Pr60qdPH6KiopQ9C/Py8tBoNGzYsKHOZaIqlYrc3NwG793MzIzY2Fhi\nY2PJycnh4MGDfPrppyQkJGBmZsabb75Z57gZM2awZcsWVqxYUW8VoqOjI3379mXv3r3885//VKpD\nTU1NGTZsWIPzqn0Pvr6+Bm3W1ta4ubmRkZEBVD97vV5f53JtlUplsHT8ehkZGajVaqP3cHV1xd7e\n3mDvwR49eiih2+HDh+nSpQtdunTBwcGBQ4cO4ezszG+//dao6j7AqMqzJqy9/rNhZ2eHXq9X9n08\nf/48AHPmzKnzumq1mqKiIsrLy7ly5YrRvQG0adPmhgGiXq9nzZo1rF27lgsXLqDVaoHqZ+pUxy/4\nr593TUVsYWGhUd87kQSIQgghRDNj7++Px/33k/n112Rs2YL32LHY+Pg09bTuWaYmajycbLmYW8SF\nnKZf6iaEEOKvq6n6u1uWMEP1MuYXX3yR7Oxs+vfv32BodL3IyEhCQkLYs2cPSUlJrFq1ipUrV7J0\n6VJlOfGcOXMYO3YsX3/9NUlJSSxatIgVK1awYcMGPDw80Ol0qNVqPvroI4P9/mrY2BhW8Nc+Mbq2\n2oe+tG3blp07d/Ltt9/y/fffs3v3buLj44mLiyMuLg6dTgfAqFGjeOCBB+q8XocOHRr9HFxdXRk+\nfDgRERGMGDGChIQEXn/99Trn6u3tzciRI9mwYQOPPfZYvdccNWoUiYmJJCYmEh4ezp49e+jbt2+d\nAdT/SqfToVKpeOutt+rc28/U9MbRUF1fs+sFBQWxceNG0tPTOXToED169AAgODiYQ4cO4ebmhl6v\nb3QFYn17TtbXXvPZqPnf5557rt6vr7W1NeXl5Y2aR31q9vQcP348s2bNwtHREZVKxauvvqp89hoz\n7+ZCAkQhhBCiGWr397+TtW8f+spK/lixgm6vvNLUU7qnebnZXw0QjU88FEII0TxZW5rRztO5qadx\n0wwZMoT58+dz5MiRBvcMrI+rqysTJ05k4sSJ5OXlMWbMGJYtW6YEiADt27enffv2TJ8+nV9//ZUJ\nEyawbt06Zs2ahY+PD3q9Hk9Pzzorvv5XlpaWREZGEhkZSVVVFXFxcSxbtoyYmBicnZ2xsbFBq9US\nGhp6097T1NSUDh06kJaWRn5+fr0HbsycOZOtW7eycuXKeq91//33Y2Njw7Zt2zAxMaGwsLDRpy9D\ndViWmppKz549lbbS0lKys7MZMGAAgPLsaypR/wxPT090Oh3nz5/Hz89Pac/NzUWj0RgcvlITGO7f\nv59jx44RGxsLQEhICGvXrsXNzQ0rKyu6dOnyp+bwZ9VUxtrY2DR4v87OzlhaWioVi7WdO3fuhu+z\ne/duevfuzcsvv2zQrtFobmoAfKeoO9IXQgghxB3NqmVLfMaOBSD7hx/IP3q0iWd0b/NyrV5SczGn\nCF2tygghhBDiTmFtbc2CBQuIi4tj0KBBjR6n0+koLi42aHN2dsbd3Z2KigoAiouLleWbNdq1a4da\nrVb6REREoFarWbp0aZ3vU1BQ8Gdup84xpqam+Pn5odfrqaqqQq1WExERwe7du/n999+Nxufl5TV4\n/WZgEuYAACAASURBVNTUVC5dumTUrtFo+OWXX7C3t8fZuf6QuaYKcf369eTk5NTZx8LCgiFDhpCY\nmMjatWuxtrb+U18fgPXr11NVVaX8PT4+Hq1WqwSIffv2xdbWlmXLlhn0q9HQc+jfv7+yVLe2jz/+\nGJVKxcCBA5U2Ly8v3N3dWb16NVqtVllKHhwcTFpaGrt27SIwMLDe6tKbpUuXLvj8f/buPKqqev3j\n+HsfRsEBEEUZnBLnnPWqOZWVpKVZkWmTXkutTG9lvzTLBrWsm7fbZDap3RI0K6cyc8zKITVxSkUc\nA1QcAJnn/fsDOUk4IB44cPi81nIt2GefvZ/Nund11ud8v89Trx6fffYZaWlpRV4veF6LxUL37t1Z\ns2YNJ0+etL5+6NAhNmzYcMX7WCyWQitiAX744Qfi4uKu8QnKJ61AFBERqaAaPPAAscuXk5OcTNSH\nH9Jp5sxibS8R2wv0ze9hk5WTy+nEVPy8i78tTEREpLT8Pdy41Dbey0lNTaVnz56EhITQtGlTPD09\n2bBhA3v27GHChAkAbN68mSlTphASEkKDBg3Izc1l8eLFODk5WXstBgUFMW7cON5++21iYmK4+eab\n8fT0JDo6mtWrV3PfffcxfPjwq6rtn//8J7Vq1aJ9+/bUrFmTQ4cOMW/ePHr37o2HhwcA48ePZ8uW\nLdx7772EhobSuHFjEhMT+eOPP9i8efNlB4js37+fZ555hp49e9KxY0dq1KjByZMnWbJkCWfOnGHS\npEmFPnv9/e8Nf/VCPHLkCMHBwRe9z4ABA1i8eDG//vorAwYMuOgQmsvJzs5m2LBh3HbbbRw+fJjw\n8HA6duzIjTfeCOQPuXn55Zd57rnnGDRoEP3798fHx4fjx4+zfv16OnTowAsvvHDRazdr1oxBgwbx\n1VdfkZSURKdOndi1axeLFy/m1ltvLbTyEfJXIX7//fc0bdrU2rOwZcuWVKlShWPHjhW7/+G1MAyD\nqVOnMnLkSG6//Xbuuusu/Pz8iIuL47fffqNq1ap8+OGHADz55JP88ssvDB06lCFDhpCTk8O8efMI\nDg4mMjLysve58cYbmTlzJhMnTqR9+/ZERkaybNky6jloayEFiCIiIhWUS7VqNHzoIaI++ICkffs4\n9dNP+J3/oChlK6BWdevPMWeSFCCKiEi5UJwvFg3DKHLehcfc3d25//772bBhA6tWrSIvL4/69evz\n8ssvM3jwYCA/ZOrRowc//fQTcXFxuLu706xZMz799FPrhFyAkSNH0qhRI+bOncsHH3wA5A/K6NGj\nR5FVd5eq/cLjQ4YMYenSpcydO5e0tDTq1KnDww8/XGiCcc2aNVm4cCEzZ85k9erVhIeH4+XlRXBw\nMM8+++xl/zadOnXiX//6Fz///DNz584lPj4eT09PWrRowf/93/9x8803X7HmevXqWQPCSz1Tly5d\nqFWrFmfPnr3qgM0wDF588UWWLVvGu+++S05ODnfccQeTJk0qdN7tt9+On58fH3/8MbNnzyYrKws/\nPz86dOjAXed3tVzqOaZNm0ZQUBCLFi1i9erV1KpVi9GjR/PEE08UqadDhw4sX77cup0Z8nv/tWvX\njs2bNxc6fqXnutTxi73292OdO3dm/vz5zJw5k3nz5pGWloavry9t2rSx/u8W8ntgfvbZZ0yfPp33\n3nuPOnXqMHbsWE6dOlUkQPz7vUeNGkV6ejrfffcdK1asoGXLlnzyySe89dZbF/3/1NU8Z3lkmBeL\nyKVc69OnDwBr1qyxcyUiImJveVlZbHr4YdJPnKCKvz9d587F4upq77IqnZzcPP751hJy80zu7dWS\ngd2K35BdRERERORalXZWpB6IIiIiFZjF1ZXrzk/2Sz9+nJglS+xcUeXk7GShbs38bTqxGqQiIiIi\nIg5GAaKIiEgF53fjjVRv3hyAI198QXZysp0rqpwK+iBqErOIiIiIOBoFiCIiIhWcYRgEP/YYANlJ\nSRz98ks7V1Q5WScxn00mL08dYkRERETEcShAFBERcQDerVtT64YbAPjz229JP3HCzhVVPoHnB6lk\n5+RxKjHVztWIiIiIiNiOAkQREREH0XjUKAyLBTM7m0OffWbvciqdAN/Ck5hFRERERByFAkQREREH\n4VmvHgF33AHAydWrSdq/384VVS5+3p44O+V/tIo5rQBRRERERByHAkQREREH0mjYMJw8PACImjUL\n01QvvrLiZLHgf34Ss1YgioiIiIgjUYAoIiLiQFy9vWkwZAgACTt2cGbTJjtXVLkEnB+kEntGk7BF\nRERExHEoQBQREXEw9UJDcfP1BeDgRx+Rl5Nj54oqj8DzfRCPn00mNy/PztWIiIiIiNiGAkQREREH\n4+TuznUjRgCQeuwYx3/4wc4VVR4Fk5hzcvOIS9AkZhERERFxDAoQRUREHFDdW2+laqNGAByePZuc\ntDQ7V1Q5BF4wiTlWfRBFRERExEEoQBQREXFAhpMTwaNHA5CVkMCxBQvsXFHlUNvLExdnTWIWERER\nEceiAFFERMRB1ezcGZ+OHQE4tmABmWfP2rkix2exGBdMYtYgFRERERFxDAoQRUREHFjw6NFgGORl\nZHBo9mx7l1MpFGxjjtEWZhERERFxEAoQRUREHFi1xo2pe+utABz/4QdSjhyxc0WOL+B8gHjibDI5\nuZrELCIiIiIVnwJEERERB3fdiBFYXF0hL4+ojz6ydzkOL7BW/hbm3DyTuIQUO1cjIiIiInLtFCCK\niIg4OPfatakXGgrA2c2bid++3c4VObYLJzGrD6KIiIiIOAIFiCIiIpVAg6FDcfHyAiDqww8x87S1\ntrTU8vLE1dkJ0CRmEREREXEMChBFREQqAWdPTxo9/DAAyVFRnFy92s4VOS6LYeDvm7+NOVaDVERE\nRETEAShAFBERqSQC7rgDj6AgAA599hm5mZl2rshxaRKziIiIiDgSBYgiIiKVhMXZmcYjRwKQERdH\n9Lff2rkixxV4fgXiyfgUTWIWERERkQpPAaKIiEglUqt7d2q0agXA0S+/JOvcOTtX5JgCzq9AzM0z\nORmvScwiIiIiUrEpQBQREalEDMOgyWOPAZCTmsqR//3PzhU5psBaF05i1jZmEREREanYFCCKiIhU\nMjVatqR2794AxCxeTFpMjH0LckC+NTxwc9EkZhERERFxDAoQRUREKqHGjz6K4eyMmZvLwU8+sXc5\nDsdiGATUzO+DqBWIIiIiIlLRKUAUERGphDwCAggcOBCAU+vXk/jHH3auyPEEnN/GHHsm2c6ViIiI\niIhcGwWIIiIilVTDhx7C2dMTgKgPP8Q0TTtX5FgCzw9SORmfQnZOrp2rEREREREpOQWIIiIilZRr\njRo0ePBBAM7t2cPpX36xc0WOpSBAzDNNTmgSs4iIiIhUYAoQRUREKrGgQYNw9/MDYP/bbxOzZAm5\nmZl2rsoxBFwwiTlWfRBFREREpAJTgCgiIlKJObm50XjUKACyEhLY//bbbLjvPo7Om0dOilbNXQvf\n6lVwd3UGNIlZRERERCo2BYgiIiKVXJ2bbqL1lClUbdwYyA8SD37yCb8MHkzURx+RefasnSusmIxC\nk5g1SEVEREREKi4FiCIiIkLtHj34xyef0O7NN/Fu2xaA3NRUjoWHs+G++9g3YwZpMTF2rrLiCbRO\nYtYKRBERERGpuJztXYCIiIiUD4ZhULNzZ2p27sy5P/7gaHg4p3/9lbzsbGKXLSP2++/x69WL+kOH\nUj042N7lVggBBZOYE1LIysnF1dnJzhWJiIiIiFw9rUAUERGRImq0bEmbqVPp+vnn1A0JwXBygrw8\n4tatY8ujjxLx7LPER0Rgmqa9Sy3XAn3ztzCbJpw4q23MIiIiIlIxKUAUERGRS/KsX5+WEyZwQ3g4\nQffcg8XdHYCzW7ey/amn2Pr445z65RfMvDw7V1o+BV4wiVl9EEVERESkolKAKCIiIlfkXrs2TceM\nofuCBTQaNgyX6vnBWNK+fex68UU2DRvG8R9+IC87286Vli8+1apQxS2/Y4z6IIqIiIhIRaUAUURE\nRIrNtUYNGg0bRvcFC2gyZgxutWoBkPbnn+x94w02DB3KnwsXkpOWZudKywfDMKjjXRWA04n6m4iI\niIhIxaQAUURERK6aU5Uq1LvnHm4IC6PFhAl41q8PQObp0xz44AM23Hcfh+bMIevcOTtXan/urvkr\nEDOzc+xciYiIiIhIyShAFBERkRKzuLjgHxJClzlzaD11KtWbNwcgOymJI59/zq+DBxP53ntknDpl\n50rtx82lIEDMtXMlIiIiIiIl42zvAkRERKTiMywWanfvTq0bbiBhxw6OhYVxdutW8jIyiP7mG2IW\nL6bOLbfQYMgQ62rFysLNxQnQCkQRERERqbhKHCCeOXOGTZs2sXv3bs6ePUtiYiI1atTA19eX66+/\nnq5du+Lr62vLWkVERKScMwwDn3bt8GnXjqSoKI6FhRG3fj1mbi4nVqzgxIoV1OrenQZDhlCjZUt7\nl1smCgLErBytQBQRERGRiumqAsS8vDx+/PFHvvzyS7Zv337F89u3b8+DDz7IrbfeisWi3dIiIiKV\nSfXgYK5/6SWui4nh2IIFHF+xAjM7m9O//srpX3/Fu21bGgwdik+nThiGYe9yS41rwRbmLAWIIiIi\nIlIxFTtAXLVqFW+88QaxsbEAmKYJcNEP/AWvbd++ne3btxMQEMCECRO4+eabbVGziIiIVCAegYE0\nf+YZGg0bxp9ff03MkiXkpqWRsGMHCTt2ULVxYxoMHUrtnj2xODtedxXrFuYcbWEWERERkYqpWMsC\nhw0bxtixY4mNjcU0TWtACFh/v/Dfha8BxMTE8OSTTzJ8+HAbly8iIiIVhVvNmgSPGkX3BQto/Oij\nuHp7A5By8CB7Xn2VTQ89RMzSpeRmZtq5Utv6qweiViCKiIiISMVUrK/5N2/ejGEY1kAwODiYG264\ngXbt2tGkSRO8vLyoVq0aycnJJCYmEhkZyY4dO9iwYQNRUVFAfpi4efPm0nsSERERqRBcqlWjwf33\nE3TPPZxYsYJjCxaQfvw46cePs/8//+HwnDnUCw0lcMAAnKtWtXe516xgCnOWAkQRERERqaCKvU/I\n3d2de++9l0GDBtGsWbOLnuPt7Y23tzcNGzYkJCQEgP379/PNN9/w9ddfk5GRYZuqi+nEiRN88skn\nbNy4kRMnTmCaJrVq1aJTp04MGzbsks+xceNG5syZw+7du0lPT8ff359bb72VUaNG4eHhUeT89PR0\n3nzzTVauXElycjLNmjXj6aefpkuXLhe9/rp163jsscd4+umnGTlypE2fWUREpKJwcnMjcOBA/Pv3\n59T69RwNCyPl0CGyEhI4+PHHHJk3j6CBAwm6+27cata0d7kl5np+BWJObh65eXk4qS+0iIiIiFQw\nhnnhnuNLmDFjBsOHD8fHx6fEN4qPj2f27NmMHz++xNe4Gjt37uSf//wnaWlp+Pn50bJlS5ycnNi3\nbx/R0dE4OzszY8YM+vbtW+h9c+fOZfr06VgsFjp06ICvry/btm3j9OnTNGrUiLCwMLy8vAq9Z+zY\nsaxcuZImTZoQFBTExo0byc7OJiwsjNatWxc6Ny0tjX79+uHl5cU333yDk5PTVT9bnz59AFizZs1V\nv1dERKS8Mk2Ts1u2cDQsjMSdO63HLS4u1L3tNuoPHoxHQIAdKyyZ9buO8fH3vwPwydN34OHmYueK\nRERERMTRlHZWVKwAsSIaMGAAUVFRDB48mBdffLFQUPfuu+8yc+ZMatSowS+//IKrqysA+/bt4667\n7sLJyYlZs2bRvXt3ADIzMxk9ejSbNm2ib9++vPPOO9Zr7d+/nzvvvJMbbriBTz/9FMMw2LRpE8OH\nD6d3797MmjWrUF1Tp04lPDyc8PDwIuFicSlAFBERR5f4xx8cCwvj9IYNfx20WPDr3ZsGQ4ZQLTjY\nfsVdpc37Ynhv8RYA3n/yNryrVrFzRSIiIiLiaEo7K3LIPTSJiYkcOHAAgHHjxhVZ5TdmzBjc3d1J\nSkri8OHD1uMFYd9dd91lDQ8B3NzcmDZtGhaLhZUrV3LkyBHra3v27MEwDO666y7rROquXbtSv359\nIiIiCt13165dhIWFMXTo0BKHhyIiIpWBV8uWtJk2jS5z51K3b18MJyfIyyNu7Vp+e/RRIv7v/0jY\nsYOK8D1owRAVUB9EEREREamYbBYgrlu3jokTJzJixAiefvppFi5cSHZ2tq0uf1UKVhQWh/f5CZDZ\n2dn8/PPPANx+++1FzvP396d9+/YArFq1yno8MTERgBo1ahQ638vLi7S0NOvvubm5TJ48mTp16vDU\nU08Vuz4REZHKrGqDBrScOJEbwsIIuvtuLO7uAJzdsoXf//Uvtj3xBKd+/RUzL8/OlV6aq8tfLac1\niVlEREREKiKbBIgvvvgijz/+OIsXL2bjxo388MMPTJ48maFDhxYK0cqKh4cHHTt2BOC///0vOTk5\n1tdM0+Tdd98lIyODXr164efnB8DRo0dJT08HoFWrVhe9bqtWrTBNk3379lmPBQQEYJomhw4dsh7L\nycnh2LFj1msDzJ49m8jISCZPnnzRQSwiIiJyae5+fjR98km6z59Pw4cfxrlaNQDO7d3LrhdeYPPw\n4RxfsYK8C/6bX164X7ACUQGiiIiIiFRE1xwgrl69moULF2KaZpF/e/bs4f3337dFnVdtypQpBAUF\n8dVXX9GnTx+eeOIJxo4dyy233MJnn33GoEGDmDFjhvX8mJgYAKpXr37JgK9OnTqFzgXo0qULnp6e\n1qnNycnJvPXWWyQmJlr3n0dHRzNz5kxCQkLo3bt3KT2xiIiI43P18uK64cPpvmABwU88gZuvLwCp\nx46xd/p0Ngwdyp9ff03u+S8FywPXQgFi+Qs4RURERESu5JoDxJUrVwIwaNAgVq1axe7du1m/fj2P\nPfYYpmny448/XnORJdGwYUPmz59Pt27dOHXqFGvXrmXVqlXExsbSoEEDOnXqhKenp/X81NRUAKpU\nuXRj84LzU1JSrMe8vb0ZP348cXFxhIaG0qlTJz7//HOCg4MZM2YMAC+//DIuLi5MmjSp0PUyMjJs\n9rwiIiKVibOHB/VDQ7khPJwWzz2HR1AQAJmnTnHg/ff5dfBgDs+dS9a5c3auFNwu2MKsHogiIiIi\nUhE5X/kU2LZtm3VL8N/FxcVhGAaTJk2iatWqAPj5+TFu3DgWLlxIXFyc7aq9Cr///jtPPvkkLi4u\nzJgxgy5duuDi4sL27dt57bXXeP7559m+fTtTp0695nsNGTKEli1b8uOPP5KSkkLz5s0ZNGgQbm5u\nLF26lA0bNjBlyhR8fX3JyMjgjTfeYNmyZaSkpODt7c2QIUMYM2YMFotDzrQREREpNRYXF/xvu426\nfftyesMGjoaFkbRvH9lJSRyeO5ej8+cTcPvt1L/3Xtxr17ZLjW5agSgiIiIiFVyxAsSHHnqI0NBQ\nnn32WWtIWKB69eoALF++nHvvvdd6/LfffiM+Pr7IcJGykJyczJgxYzh37hwLFizg+uuvt77Wq1cv\nGjVqxIABA/jmm28YMGAAnTt3tq4uTL/MlqeCVYp//xsAtG7dushk5XPnzjF9+nQ6depEaGgoAOPH\nj2fdunWMGDGC9u3bs3r1ambOnEl6ejrPPffcNT+7iIhIZWRYLNTu0YNa3buTsGMHR8PCiN+6lbyM\nDKK//pqYRYuoc8stNBgyBM/69cu0NjcNURERERGRCq5YS94Mw+Crr76iX79+hSYQQ34PQNM0eeml\nl7jpppsYOnQoISEhDBs2DNM06datW6kUfjk//fQTCQkJBAUFFQoPCwQFBVnDvo0bNwL5w1AAkpKS\nLjn45eTJk4XOvZLp06eTmprKlClTADhy5AirV6+mf//+PP300/Tu3ZupU6fSpk0b5s2bd9nwUkRE\nRK7MMAx82rWj/b//TeePP8bvxhvBYsHMzeXEihVsGjaMnS++yLm9e8usJldnDVERERERkYqtWAHi\n119/TYsWLTh16hRjx45lzJgxnDp1CoDQ0FBatGiBaZocP36ciIgIjh07hmmaVK9enXHjxpXqA1zM\niRMnAAr1OPy7agXTG8/3RmrYsKG1/+GePXsu+p49e/ZgGAYtWrS4Yg2bN29m0aJFjBo1igYNGgBY\npze3bdu20Lnt27cnOzubgwcPXvG6IiIiUjzVmzTh+pdeotv//kfAHXdguLiAaXL6l1/Y+vjj/P7U\nU5zduhXTNEu1DovFwMU5/yNXlrYwi4iIiEgFVKwAsXnz5ixcuJAJEybg7u5uXUU3f/58XF1d+eKL\nLxg2bBj+/v44OTnh5eVF//79+eqrr6hXr15pP0MRtc/3ODpy5EihgScFcnJy2Ht+5UFgYCAALi4u\n9OrVC9M0+e6774q8JzY2loiICABuueWWy94/KyuLl156ieDgYEaOHGk9bhgGUHSbdMHvBa+LiIiI\n7XgEBtL8mWfoPn8+9YcMwcnDA4CEiAginn2WLSNHErduHWZu6a0OdHPO38asFYgiIiIiUhEVe2qH\nxWJh2LBhLF++nN69e5OcnMwrr7zC/fffT1xcHBMmTGDt2rXs2bOHTZs2MWPGDOqXcY+hAj179qRK\nlSpkZGTwwgsvFNqSnJ2dzWuvvcbx48dxdnamb9++1tdGjhyJYRh8++23/PLLL9bjGRkZTJo0iby8\nPPr27UvDhg0ve/8PPviA6OhopkyZgrPzX32PWrZsCcCyZcvIzMwEID4+npUrV+Lm5kbjxo1t8vwi\nIiJSlFvNmgSPGkX3BQu47tFHcfX2BiA5Kordr7zCxgcfJGbZMnLP/zfapvd2zd/GrABRRERERCoi\nwyzhvp3ly5fz2muvcebMGVxdXRk1ahSjRo0qFJjZ09KlS3n++efJzc3F29ub66+/HmdnZ/bs2UNc\nXBxOTk689NJLhQa/AHz++edMnz4dgE6dOlGzZk22bdvGmTNnaNSoEfPmzcPLy+uS942KimLQoEHc\ne++9TJ48ucjrzzzzDMuXLycgIIAWLVqwfft2zp49y6hRo/jXv/5VrGfr06cPAGvWrCnun0NERET+\nJjczkxMrVnBs/nzSz7c/AXD18aFeaCiBAwbgfJl2KFdj/EcrORGfws3tGjI8pJ1NrikiIiIiUqC0\ns6ISB4iQP+343//+NwsXLgSgcePGvPrqq7RrVz4+GEdGRvL555+zbds24uLiME2TWrVq0bFjRx54\n4IGLDlgB2LRpE3PmzGHXrl2kp6dTt25dQkJCGDlyJB7ntz1dypAhQzhx4gTffffdRac15+Tk8O67\n77Js2TLOnDlD3bp1GTJkCMOHDy/2cylAFBERsZ28nBxOrV/P0bAwUg4dsh539vQk8M47Cbr7btx8\nfK7pHpPmrOXoyUR6tKrH6Ds6XmvJIiIiIiKFlKsAcdu2bezevRuA1q1b06FDB+vxyZMnc/jwYSwW\nC/fddx/PPPPMZYeYSMkpQBQREbE90zQ5u2ULR8PCSNy503rc4uKCf79+1Bs8GA9//xJd+9Uv1hMZ\nc5bOzQIYN+gftipZRERERAQo/ayoWPuNs7OzGTduHOvWrSt0/KabbuKdd96hY8eOLFmyhI8++oiP\nP/6Y8PBw1q5dy+TJk7nppptKpXARERERWzIMA99//APff/yDxD17OBoezpkNG8jLziZmyRJili3D\n78YbaTBkCNWusm+xq8v5HohZmsIsIiIiIhVPsYaofPLJJ6xduxbTNAv9W7t2LZ9++imQP8V4zJgx\nLF68mI4dO3Ly5EmeeOIJxo0bV6oPICIiImJrXq1a0XbaNLrMmUPdvn0xLBbIyyNuzRp+e+QRIp57\njoSdOynuRg43l/zvbLNyNERFRERERCqeYgWIy5YtwzAMQkJCmDlzJjNnzqRv376YpsnSpUsLnduo\nUSO++OILpkyZQrVq1Vi5cmWpFC4iIiJS2qo2bEjLiRPpFhZG0N13Y3FzA+Dsb7/x+7hxbBszhtMb\nNmDm5V32Om5agSgiIiIiFVixtjDHxMTg4+PDf//7X+uxm266iW7duhEdHX3R94SGhnLjjTfy+uuv\n26ZSERERETupUqcOTZ98koYPPkj0okVEf/stOcnJnPvjD3ZOmoRngwbUHzKEOn36YHEu+vHKGiBq\nBaKIiIiIVEDFWoHo6upKSkoKp06dsh6Li4sjNTUVt/PfxF+Mr68vM2bMuPYqRURERMoBVy8vrhs+\nnO4LFhD8xBO4+foCkHr0KHtff52N99/Pn998Q256euH3nd/CnJmtAFFEREREKp5irUBs1aoVW7Zs\n4fbbb6dLly4A/Pbbb2RlZdG2bdtSLVBERESkvHH28KB+aChBd97JiVWrOBYeTlp0NBlxcRx47z2O\nfP45QXffTdCgQbhUr25dgZilAFFEREREKqBiBYiPPPIIv/32G8nJyaxatQoA0zQxDINHH320VAsU\nERERKa8sLi4E9OuHf9++nN6wgaNhYSTt3092UhKH58zhWHg4AXfcgVNw/hewmdnqgSgiIiIiFU+x\ntjD36NGD//znP/j7+1snMAcGBjJjxgy6d+9e2jWKiIiIlGuGkxO1e/ak04cf0v4//8GnY0cAcjMy\n+HPhQmLD5wH5W5iLO7lZRERERKS8KNYKRIB+/frRr18/4uPjAfDx8Sm1okREREQqIsMw8GnfHp/2\n7UmKjORoeDin1q/HKTvTes7vk18i+P6h1GjWzI6VioiIiIgUX7FWIF7Ix8dH4aGIiIjIFVRv2pTW\nL79Mty++oHbrVtbjJzdvYevo0ZzdutWO1YmIiIiIFF+xAsTExESb3MxW1xERERGpKDwCA2l450Dr\n77nuHgDE/fSTnSoSEREREbk6xQoQ+/Tpw9tvv13iADAxMZEZM2bQp0+fEr1fREREpCIrmMIMUOMf\n+QNVEiIi7FWOiIiIiMhVKVYPxNTUVD7++GPmzp1L7969GThwIF27dqVKlSqXfE9aWhqbNm1ieuFL\nDgAAIABJREFU6dKl/PTTT2RlZdmsaBEREZGKxNXlr49c7k2akbJ6OenHj5N+4gRV6ta1Y2UiIiIi\nIldW7CEqAJmZmaxcuZKVK1disVgIDg6mcePGeHt7U7VqVVJSUkhISCAqKoqDBw+Sl5cHYJ02aBiG\n7Z9AREREpJy7cAWie+MmpJz/OWHHDgWIIiIiIlLuFStA/N///sfUqVM5cOCANQzMzc1l//79REZG\nFjm/4JwLNW3alBdeeOEayxURERGpeNyc/woQqV4Ddz8/MuLiiN++Hf/bbrNfYSIiIiIixVCsHoid\nO3dm8eLFTJkyheuuu856/FIrCi883qBBA6ZMmcKiRYvo1KnTNZYrIiIiUvG4uf71nW1WTh7e7dsD\n+X0QL/bFq4iIiIhIeVLsLcwWi4XQ0FBCQ0PZuHEjK1asYNOmTURHRxc5NyAggC5duhASEkKPHj1s\nWrCIiIhIRXPhCsTM7ByC2rXjxA8/kHnmDGnR0XjWq2fH6kRERERELu+qeiAW6NatG926dQMgKSmJ\n06dPk5SURPXq1fH19aVGjRo2LVJERESkIrtwBWJmdi7e7dpZf0+IiFCAKCIiIiLlWokCxAtVr16d\n6tWr26IWEREREYfkZDGwGAZ5pklmdi7utWrhERREWnQ08du3EzhwoL1LFBERERG5pGL1QBQRERGR\nkjMMAzfX/G3MWdk5APhc2AcxL89utYmIiIiIXIkCRBEREZEyUNAHMTM7F8C6jTk7KYmUw4ftVpeI\niIiIyJUoQBQREREpA24u+Z1jrAFi27bW1+IjIuxSk4iIiIhIcShAFBERESkDri4FKxDztzC7enlR\n9brrAEjYvt1udYmIiIiIXIkCRBEREZEyULACMev8CkS4oA/izp3k5eTYpS4RERERkStRgCgiIiJS\nBtz+tgIR/uqDmJuWRvKBA3apS0RERETkShQgioiIiJQB6xbmnL9WIHq3aYNhyf84pj6IIiIiIlJe\nKUAUERERKQPWISpZfwWIzp6eVGvaFFAfRBEREREpvxQgioiIiJSBgi3MWResQIS/+iAm7t5NXlZW\nmdclIiIiInIlzsU5aevWrdd0k06dOl3T+0VEREQquov1QIT8PohH580jLyuLc3v34t22rT3KExER\nERG5pGIFiA8++CCGYZToBoZhsHfv3hK9V0RERMRRuBZsYc4uvALRq1UrDBcXzOxs4iMiFCCKiIiI\nSLlzVVuYTdMs0T8RERGRys66hflvAaKTuzs1WrQA1AdRRERERMqnYgeICgJFRERESu5SW5jhrz6I\n5/buJTc9vUzrEhERERG5kmJtYR40aFBp1yEiIiLi0AqmMOfmmeTk5uHs9Nf3uD7t2nF4zhzM3FwS\nd++mZufO9ipTRERERKSIYgWIr7/+emnXISIiIuLQXJ2drD9nZufg7ORq/b168+ZY3N3Jy8ggPiJC\nAaKIiIiIlCtX1QNRRERERErGzfWv723/3gfR4uKC9/XXA+qDKCIiIiLljwJEERERkTLgVmgFYm6R\n173P90FMiooiOzm5zOoSEREREbmSYm1hvpT9+/ezfPlyDh8+THJy8kUHrRiGweeff34ttxERERGp\n8NxcC29h/jufdu3yf8jLI2HnTmp3715WpYmIiIiIXFaJA8T333+fDz744LLnmKaJYRglvYWIiIiI\nw3C9wgrEasHBOHt6kpOaSkJEhAJEERERESk3SrSFedu2bbz//vvWFYemaV509aGIiIiI5LtcD0QA\nw8kJ77ZtAYhXH0QRERERKUdKFCB+/fXXQP725IJVhgU/K0wUERERKerCHogZF9nCDH/1QUw9coTM\n+PgyqUtERERE5EpKFCDu3Lkz/80WCx999JE1MOzVqxfz58+nU6dOGIbBs88+y+rVq21XrYiIiEgF\ndaUViHBBH0QgYceOUq9JRERERKQ4ShQgxsXFYRgGTZs2pVevXtbj7u7utG3blpkzZ1KtWjXefvtt\nTp8+bbNiRURERCqqwj0QL74C0bNhQ1y8vABIiIgok7pERERERK6kRAFiVlYWALVr186/iMVS6Hi1\natVo3bo1OTk5zJo1yxZ1ioiIiFRori6XH6IC+e1hClYhqg+iiIiIiJQXJQoQPT09AawTlt3d3QE4\ncuSI9ZzExEQAdmj7jYiIiAgWw7CuQrxUgAh/9UFMj40lIy6uTGoTEREREbkc5yufUpSXlxdJSUkk\nJSUB4Ofnx5EjRzh27Bivvvoq7u7u7N69G4DU1FTbVSsiIiJSgbm5OJGVk0vWJbYwQ+E+iPEREfiH\nhJRFaSIiIiIil1SiFYiBgYGYpsmZM2cAaNGihfW18PBw5syZY/09KCjoGksUERERcQwF25gvtwKx\nSkAAbufbxKgPooiIiIiUByUKEJs3bw7An3/+SUJCAgMHDixyjmEYGIbBoEGDrq1CEREREQfh5pK/\n+SMz59IB4t/7IJqmWSa1iYiIiIhcSom2MN9xxx34+PgA+YNTevbsyQMPPMCXX35Z6Lxbb72VESNG\nXHuVIiIiIg7ArWAFYtaltzBDfh/EEz/+SObp06THxuIRGFgW5YmIiIiIXFSJAsSmTZvStGnTQsde\neOEF7rzzTrZt20ZOTg5t27alY8eONilSRERExBEUrEDMuswKRPhbH8Tt2xUgioiIiIhdlShAzMrK\nwtXVtcjxVq1a0apVq2suSkRERMQRuRZzBaJ77dp4BAaSFhNDQkQEgQMGlEV5IiIiIiIXVaIeiD16\n9GDatGlERUXZuh4RERERh2XdwnyFFYgA3gV9ECMi1AdRREREROyqRAHiuXPn+PLLLxkwYAD33Xcf\nixcvJjMz09a1iYiIiDgU6xCVy0xhLuDTvj0A2YmJpB45Uqp1iYiIiIhcTokCxAKmabJz504mTpxI\njx49mDp1KpGRkbaqTURERMShFGxhzipGgOjdtq315+jFi0utJhERERGRKylRgFi7du1CW2lM0yQp\nKYl58+Zx5513MnjwYL799lsyMjJsVqiIiIhIRWfdwpx9+R6IAK7e3vh26QJA7NKlRH/7banWJiIi\nIiJyKSUKENevX8+cOXMYOHAgVapUKfSaaZrs2rWLSZMm0aNHD1599VWbFCoiIiJS0bk5FwSIV16B\nCNBi4kTrBObI99/nzObNpVabiIiIiMillChANAyDrl278sYbb7Bx40befPNNunfvjsWSfznTNDFN\nk+TkZMLDw21asIiIiEhF5eZa0APxyisQAVxr1KDt9Om4VK8OeXnsfuUVkg8dKs0SRURERESKuKYe\niADu7u4MGDCATz/9lPXr1/PUU0/h5uaGYRi2qE9ERETEYbieX4GYnZNHXjEnK3sEBtL61VcxnJ3J\nTU9nx8SJZJ49W5plioiIiIgUcs0BYoFt27bx7rvv8tlnn5GVlWWry4qIiIg4DPfzKxCheINUCni3\nbUvz8eMByDx1ip2TJpGrXtMiIiIiUkacr3zKpf35558sXryYpUuXEhsbC+RvX75w9aGTk9O1VSgi\nIiLiIApWIEL+NuYLA8Ur8Q8JIS0mhqNffknS/v388dprXP/yyxgWm30fLCIiIiJyUSUKEMPDw1my\nZAk7d+4EsE5kLggOTdMkKCiI0NBQ7rrrLhuVKiIiIlKxubn+FSBezQrEAtf985+kx8YSt24dp37+\nmUOffkrjkSNtWaKIiIiISBElChBfeeUVDMOwrjYs+NnJyYk+ffowePBgunXrZutaRURERCo0N+e/\nPnoVdxLzhQyLhRYTJpB+8iRJ+/ZxNCyMKoGBBPTrZ8syRUREREQKuaYtzJC/2rB+/frcc8893H33\n3fj4+NiiLhERERGH4+ZSeAtzSTi5udFm2jS2PvYYGXFx7J8xgyp16+LTrp2tyhQRERERKaTETXOc\nnZ257bbbmDNnDj/++COPPvqowkMRERGRy3AtFCBe/QrEAm4+PrR9/XWcPDwwc3PZ9eKLpP75py1K\nFBEREREpokQB4rPPPsv69et5++236dq1q61rEhEREXFIbi4lm8J8MVUbNaL1+SEqOSkp7JgwgazE\nxGstUURERESkiBIFiCNGjNBqQxEREZGrZIstzBeq2bkzTceNAyD9+HF2vfgieVlZ13xdEREREZEL\nFasH4vHjxwGoUqUK3t7e1t+Ly9/f/+orExEREXEwF65AvJYtzBcKHDiQ1Ohoor/+msTdu9n773/T\n8vnnMQzDJtcXERERESlWgHjTTTdhGAZ9+/blv//9r/X34jAMg717915TkSIiIiKOwNXGKxALNHns\nMdJjYzmzaRMnV63CIyiIRg89ZLPri4iIiEjldlVbmE3TLPJ7cf6JiIiICDg7WfB0dwHgZEKqza5r\nODnR6sUXqdq4MQCHZ8/m5Jo1Nru+iIiIiFRuJZ7CfCXaNiMiIiJSVHBATQAOxJy16XWdPTxo+9pr\nuNbMv/7e6dNJ3LPHpvcQERERkcqpWFuYO3XqBEBwcHCh30VERETk6jQJrMmOQyc5ejKRjKwc3F2L\n9XGsWNxr16bta6+xbdw48jIy2PnCC3T+8EOq1K1rs3uIiIiISOVTrE+sX3zxxWV/FxEREZHiaRqU\nv0IwzzQ5dCKBlvVr2fT61Zs2pdWkSeyaPJnsxER2TJhAx/ffx6VaNZveR0REREQqj1LbwiwiIiIi\nRTWq442TJb/Vy4HoM6Vyj9o9ehA8ejQAqceOsfuVV8jLsd3QFhERERGpXEoUIPbr14+5c+eSmJho\n63pEREREHJqrixON6noDtu+DeKF6995LwB13ABC/bRuR77yj4XYiIiIiUiIlChAPHz7MG2+8Qa9e\nvRg/fjxbtmyxdV0iIiIiDqtJ4PlBKrHx5OWVTqhnGAZNx43Dp0MHAGKXLePPhQtL5V4iIiIi4tiu\naQtzZmYm33//PQ8//DAhISHMmTOHhIQEW9UmIiIi4pAKAsSMrByiT58rtftYnJ25/uWX8axfH4Co\nDz/k1K+/ltr9RERERMQxlShAdHV1LbQFxjRNjh49yptvvkmvXr145pln2Lx5s82KFBEREXEkBQEi\nQGQpbmMGcKlWjbbTp+Pi5QWmyZ6pU0k6cKBU7ykiIiIijqVEAeLGjRuZMmUKnTp1sh4zjPxm4FlZ\nWSxfvpzhw4fTt29fPvvsM9tUKiIiIuIgqnu4UdenKlC6fRALVKlblzZTp2JxcSEvI4Odzz9PxqlT\npX5fEREREXEMJQoQq1atSmhoKF988QVr1qxh3LhxNGjQwLoq0TRNTNPk2LFjvPXWWzYtWERERMQR\nWPsglkGACODVqhUtJkwAIPPMGXY8/zw5aWllcm8RERERqdiuqQcigL+/P4899hg//PADCxcu5IEH\nHsDNzc26IlFEREREimoalB8gnk1K58y5sgny6vTpQ6N//hOAlIMH2TN1KmZubpncW0REREQqrmsO\nEAucOHGCjRs3snHjRjIzM211WRERERGH1CTgrz6IZbUKEaDhgw9S55ZbADizcSNRs2aV2b1FRERE\npGJyvpY3p6amsmLFCpYsWcK2bdusW5i1+lBERETk8ur4VKW6hxtJaZkciDlLt5ZBZXJfwzBo8eyz\nZJw8SeLu3fy5cCEegYEEDhxYJvcXERERkYqnRAHizz//zJIlS1i7di0ZGRlAft9DwzCsIaKnpyf9\n+/dn8ODBtqtWRERExEEYhkGTQB+2HThR6pOY/87i6krrKVPY+vjjpB8/TuQ771Clbl1qdu5cpnWI\niIiISMVQogBx5MiRhcLCghWHpmnSqlUrBg8eTP/+/fHw8LBdpSIiIiIOpkmgL9sOnCD69DnSMrLx\ncHcps3u7ennRdvp0tj7+ODkpKex65RU6vfceVRs1KrMaRERERKRisEkPRE9PT+677z4WLVrE119/\nTWhoqMJDERERkSsomMRsmnDweHyZ39+zXj1aT5mC4eREbmoqOyZOJDO+7OsQERERkfKtxAGiaZq0\nbt2aqVOn8ssvv/Dyyy/TvHlzW9YmIiIi4tAa1vHCxTn/41hZDlK5kE+7djQfPx6AjLg4dk6aRK4G\n4omIiIjIBUoUIA4dOpQlS5bw1Vdfcc8991ClShVb1yUiIiLi8JydLFxX1wegzPsgXsj/tttoMHQo\nAEn79vHH669j5uXZrR4RERERKV9KFCBGRUUxbdo0HnnkEbKzs21dk4iIiEil0TQofxvzoePx5OTa\nL7S77pFHqN2zJwCnfvqJQ7Nn260WERERESlfShQgRkREsHXrVjIyMnBxKbtm3yIiIiKOpklAfoCY\nmZ3LsbhEu9VhWCy0fP55qjdrBsDRL7/k+IoVdqtHRERERMqPEgWIfn5+ALi7u9u0GBEREZHKJjjA\nB+P8zwdi7DvAxMndnTbTpuF+/rPevrfeImHHDrvWJCIiIiL2V6IAsXfv3pimyf79+7WFWUREROQa\neFZxJaBWdQAiY87YuRpwq1mTtq+/jpOHB2ZODjtffJHU6Gh7lyUiIiIidlSiAPGJJ56gTp06nD17\nlsmTJ5OWlmbrukREREQqjaaB+duYo2LOYpqmnauBqo0acf1LL4HFQk5yMjsnTiTr3Dl7lyUiIiIi\nduJckjf9+9//pn79+pw8eZLFixezdu1aWrZsSe3atTEMo9C5hmHw2muv2aRYEREREUfUJLAmayKO\nkJiayanEVPy8q9q7JHz/8Q+aPvkkke+8Q1pMDLsmT6b9W29hUf9rERERkUqnRAHiokWLMAwDwzAw\nTZNz586xadOmIueZpqkAUUREROQKClYgAhyIOVsuAkSAoEGDSIuJIfqbb0jcuZN9b71FiwkTinxh\nLCIiIiKOrURbmC9UECSKiIiISMn41vDAu2r+cLrImLN2rqawJo8/jm+XLgCc+PFHjs6bZ+eKRERE\nRKSslThANE3ziv9ERERE5MoMw6BJUP4qxAPlLEA0nJxoNXkyVa+7DoBDn35KzJIl5GmQnoiIiEil\nUaItzP/73/9sXUepyc7OJjw8nBUrVnDo0CHS09Px9fWlSZMmDBw4kNtuu63IezZu3MicOXPYvXs3\n6enp+Pv7c+uttzJq1Cg8PDyKnJ+ens6bb77JypUrSU5OplmzZjz99NN0Of9t/d+tW7eOxx57jKef\nfpqRI0fa/JlFRESk4mkSUJPf9sUSeyaZlPQsqlZxtXdJVs4eHrR9/XW2jB5NVnw8+99+m0Nz5uDf\nty/+/frhWb++vUsUERERkVJkmA68VPDkyZOMGDGCQ4cO4ePjQ5s2bfDw8ODEiRPs27ePnj178s47\n7xR6z9y5c5k+fToWi4UOHTrg6+vLtm3bOH36NI0aNSIsLAwvL69C7xk7diwrV66kSZMmBAUFsXHj\nRrKzswkLC6N169aFzk1LS6Nfv354eXnxzTff4OTkdNXP1adPHwDWrFlz1e8VERGR8unIyQRemLMO\ngGfu6Ur74Lp2rqiopAMH2DV5MhknTxY6XqNVKwL698evd2+cqlSxU3UiIiIilVdpZ0UlWoFYEWRm\nZjJ8+HCOHj3K2LFjGTVqVKGwLjMzkyNHjhR6z759+3jjjTdwdnZm1qxZdO/e3Xru6NGj2bRpEy+9\n9FKh0HH//v2sXLmSG264gU8//RTDMNi0aRPDhw9n5syZzJo1q9A9/vOf/3D69GnefffdEoWHIiIi\n4pjq1a6Bm4sTmdm5HIg5Wy4DxOpNmnDDvHmc3baN2O+/58yGDZi5uZzbs4dze/YQ+d571OnTB//+\n/anetKn6ZIuIiIg4iGseolJezZo1iyNHjjB48GAef/zxImGdm5sbzZo1K/IegLvuussaHhacO23a\nNCwWCytXriwUPO7ZswfDMLjrrrusH5K7du1K/fr1iYiIKHT9Xbt2ERYWxtChQ4usTBQREZHKzcli\nITigfPZBvJDh5ITvP/5Bm1dfpfvChQSPHo1HUBAAuWlpxC5bxtbRo/ntkUf485tvyE5KsnPFIiIi\nInKtSrQCsXnz5sU+1zAM9u7dW5LblFhOTg7z58/HMAxGjBhRrPdkZ2fz888/A3D77bcXed3f35/2\n7dvz+++/s2rVKmvvwsTERABq1KhR6HwvLy+OHz9u/T03N5fJkydTp04dnnrqqRI9l4iIiDi2JoE+\n7Dl6isMnEsjOycXFuXzvVnDz8aH+ffdRb/Bgzu3eTezy5cT99BN5GRmkHDrEgffe4+CsWdTq2ZOA\nfv3wbtcOw+Kw31+LiIiIOKwSBYjlvW3i3r17SUhIwM/Pj6CgICIjI1m1ahWnTp2iRo0adOzYkZ49\nexbaVnP06FHS09MxDINWrVpd9LqtWrVi27Zt7Nu3z3osICAA0zQ5dOiQddViTk4Ox44dw8/Pz3re\n7NmziYyM5MMPP7zoIBYRERGRpoG+AGTn5nHkZCJNAmvauaLiMQwDr9at8WrdmqZPPsnJtWs5/v33\nJO3fT152NnFr1hC3Zg1V6tbFv18/6oaE4F6rlr3LFhEREZFiKnEPxOL0tLFX0BgZGQlAnTp1mDFj\nBp9++mmh1z/55BNatGjBBx98QN26+f2FYmJiAKhevfolA746deoUOhegS5cueHp6MmfOHNq3b0+D\nBg344IMPSExMZODAgQBER0czc+ZMQkJC6N27t02fVURERBzHdf7eGAaYJkTGnK0wAeKFnD09Cbzj\nDgLvuIPkgwc5vnw5J1atIic5mfQTJzj02WccmjMH386d8e/fH9+uXbE4O2xbbhERERGHUKJPa/7+\n/hc9Hh8fT0ZGBpAfMNauXRtnO3wgTEhIAOCPP/5g165d3H///Tz44IP4+vqya9cuXn31Vfbu3cuo\nUaNYtGgRTk5OpKamAlDlMpMDPT09AUhJSbEe8/b2Zvz48bz66quEhoYC+c8eHBzMmDFjAHj55Zdx\ncXFh0qRJha6XkZGBu7u77R5cREREKrQqbi7U9/Pi6MnEct0HsbiqNW5M07FjaTxqFKd//ZXY778n\nYft2yMvjzObNnNm8GVdvb+qGhODfrx+e53spioiIiEj5UqJ0b+3atZd8bffu3bzyyiv88ccftGvX\nrtDE4rKWm5vL7bffzgsvvGA91rVrV2bPnk1ISAhRUVF8//33DBgw4JruM2TIEFq2bMmPP/5ISkoK\nzZs3Z9CgQbi5ubF06VI2bNjAlClT8PX1JSMjgzfeeINly5aRkpKCt7c3Q4YMYcyYMVjUE0hERKTS\naxJQ0xogmqbpEJOMndzcqNOnD3X69CHt+PH8VYkrVpB55gxZCQkcCw/nWHg4Xq1b49+/P369euGk\nL1lFREREyg2bLw+8/vrr+fDDD+nduzcrV65k0aJFDBo0yNa3uayClYIAgwcPLvJ63bp16dWrF6tW\nrWLTpk0MGDDA+p709PRLXrdglWLVqlWLvNa6desik5XPnTvH9OnT6dSpk3V14vjx41m3bh0jRoyg\nffv2rF69mpkzZ5Kens5zzz139Q8rIiIiDqVpUE1W/n6IlPQsTsSn4F+zmr1LsikPf38aP/IIjYYN\n4+yWLRxfvpwzGzdi5uWRuGsXibt2Efnuu9S9+Wb8+/enepMm9i5ZREREpNIrlSVvtWrVws/PD9M0\nCQ8PL41bXFZgYKD156BLbIUJCgrCNE1OnToF5A9DAUhKSiItLe2i7zl58mShc69k+vTppKamMmXK\nFACOHDnC6tWr6d+/P08//TS9e/dm6tSptGnThnnz5l02vBQREZHK4cK+h5HRZ+xYSemyODtTq1s3\n2kydSveFC2k8ciRVzn/Gyk1NJWbJEraMHMnmRx4hetEispOT7VyxiIiISOVVKgFiVFSUNWyLiooq\njVtcVsuWLa3bfQr6If5dwfGClYcNGza09j/cs2fPRd+zZ88eDMOgRYsWV6xh8+bNLFq0iFGjRtGg\nQQMA6/Tmtm3bFjq3ffv2ZGdnc/DgwSteV0RERBybT7Uq1KqRP9At0gH6IBaHW82aNBg6lG5ffkmH\nd96hzq23YnF1BSDl4EEi33mHX+6+mz1TpxIfEWG3QX0iIiIilVWJtjBPnDjxosdzc3NJTEzk999/\nt+sHO19fXzp06MDvv//Oxo0badasWaHXc3Jy2Lp1K4ZhcP311wPg4uJCr169WLFiBd999x2dO3cu\n9J7Y2FgiIiIAuOWWWy57/6ysLF566SWCg4MZOXKk9XhBqPn3lYYFvztCjyMRERG5dk0Ca3L6XJpD\nDFK5GoZh4N2mDd5t2pD95JPErV1L7Pffk3zgAHlZWZxcvZqTq1dTxd8f//798e/bFzdfX3uXLSIi\nIuLwShQgLlq06LJhV0HDb8MwaNmyZYmLuxZPPPEEw4cP56OPPqJDhw60adMGyA85p0+fTnR0NNWq\nVePuu++2vmfkyJH8+OOPfPvtt9xyyy306NEDyJ+WPGnSJPLy8ujbty8NGza87L0/+OADoqOjCQsL\nKzSFuuBvsWzZMh544AHc3NyIj49n5cqVuLm50bhxY1v/GURERKQCahJYkw1/RBOXkMq51AxqeFa+\ngSIu1aoROHAg/8/efcdXXZ///3+8T/aeZEMgZBFIAsgUkSUbN9ZV248diNbW1k/77bDD0fan1t26\nPm1FrUVxW4EKMgQRFRFJAoQEAgGSkJC993n//jjhQCRgyOBkPO+3W25Nznmdc6631Yzneb2uK+rK\nK6k6cICCNWso/PBDWmprqS8oIOfvf+fQP/9J0JQpRC5eTNDkyVice7y9t4iIiIjQC0NUwPbusWma\nWCwWbrvttt54iW80depUfvrTn/Lkk09y8803k5yczJAhQ9i7dy/5+fl4eHjw6KOPEhgYaH9MUlIS\nv/rVr3jwwQdZtmwZEydOJCgoiJ07d1JSUkJMTAz33nvvOV/3wIED/POf/+SGG24446jysGHDWLx4\nMWvXrmXx4sUkJSWxa9cuysvLue2223DXtEERERHBNkjlpOy8UiYmdK7/8kDlGxeH709/Stztt3Ni\nyxby16yhIi0N02qlZPt2SrZvxzUoiIgFC4hYuBDP0/phi4iIiEj3GWYXzhp//UhwR6Ix42OcAAAg\nAElEQVSjo/n5z3/+jcd9e9v27dt56aWXSEtLo7a2liFDhjB16lR+8IMfnHUn4aeffsqKFStIT0+n\nvr6e8PBwFixYwLJly/D09Dzn6914440cP36c1atXdzituaWlhaeeeor333+fkpISwsPDufHGG7n1\n1ls7fU1z5swBYOPGjZ1+jIiIiPQfVtPktidWU9fQzMKJsXz7shRHl9Tn1OXlUbB2LQUffEBTWVm7\n+wLGjiVi8WJCLr0UJzc3B1UoIiIicuH0dlbUpQBxx44dZ73PxcWFkJCQTk8qlvOnAFFERGTg+8vr\nn7A7p4iR4QHc/z+zHF1On2VtaaH088/JX7OGks8+A6vVfp+ztzdhl11G5OLF+MTFObBKERERkd7V\n21lRl44wf33AiIiIiIj0rPioIHbnFJFbVEFjcwtuLurv1xGLszNDpk1jyLRpNJaUULBuHQVr1lBf\nUEBLTQ15775L3rvv4hMfT+TixYTNmYNzB6dEREREROTs9JuoiIiISB8UH2WbLtxqNckpKCcpeoiD\nK+r73IKDGXHzzQy/8UbK09IoWLOGE1u2YG1upjo7m/3Z2WQ/8wyhM2cSsWgR/ikp5xwMKCIiIiI2\nPRYg7t69m5ycHJydnYmLiyMpKamnnlpERERk0BkZHoCTxaDVapKVV6oA8TwYFguB48YROG4czXfd\nReGHH5K/Zg01OTlYGxs5vm4dx9etw3PoUCIWLSJ83jzcgoK++YlFREREBqlOBYiFhYV88cUXAAQE\nBHDJJZfY7ysrK+NHP/oRu3fvbveYpKQkHnvsMaKjo3uwXBEREZHBwdXFiRFhARwsKCM7r9TR5fRb\nLj4+DL3mGqKuvprq7Gzy16yhcONGWmtrqTt2jIPPP0/O3/9O8MUXE7l4MYETJ2Jx1iEdERERkdN1\n6rejDz74gIceegiAZcuWtQsQ77nnHr766qszHrN3716+973vsXr1ajw8PHqoXBEREZHBIz4qiIMF\nZRzIL8VqNbFYdNy2qwzDwDchAd+EBOLvuIOiLVsoWLOGivR0TKuV4m3bKN62DbfgYMIXLCBi0SI8\nIyIcXbaIiIhIn2DpzKKsrCxODmteuHCh/fbs7Gw2b96MYRj2D8D+vwUFBbzxxhs9XbOIiIjIoJAw\n1Hastr6xhbySKgdXM3A4ubsTMX8+E556iqkvv0z0DTfgGhAAQGNJCbmvvML2m25i191323YrNjY6\nuGIRERERx+pUgHjw4EEA/Pz8SExMtN++fv16++emaeLh4cHcuXMJDg6237558+aeqlVERERkUImL\nDLR/nnWsxIGVDFxew4YRt3w5l7zxBikPPEDQlClgsf2KXLZrF3seeICPly4l669/pTonx8HVioiI\niDhGp44wl5aWYhgGsbGx7W7fuXMnYAsPDcPgscceY+bMmRQUFDBv3jxaW1s5cOBAz1ctIiIiMgj4\nebkTHujN8bIasvPKmHvRSEeXNGBZnJ0JmT6dkOnTaThxgoIPPqBg7VoaCgtpqa7m2Ftvceytt/BN\nTCRi8WLCZs/G2cvL0WWLiIiIXBCd2oFYVWU7MuPv79/u9n379tmPK/v5+TFz5kwAIiIiSE1NxTRN\n+2NFRERE5PzFR9mOMWflaQfiheIeEkLMd77DtJUrGf/oo4TOno3h4gJA1f797H/0UbZeey17H3yQ\niowMe6sfERERkYGqUzsQGxoaAKirq7PfdvToUaqqquy9DydMmNDuMX5+fgBYrdaeqlVERERk0ImP\nCmJL+hFKq+opraojyNfT0SUNGobFQuBFFxF40UU0VVZS+OGH5K9ZQ+3hw1gbGjj+wQcc/+ADPIcN\nI3LRIsLnz7f3UhQREREZSDq1A9Hb2xvTNNm/f789EPz4448B7O+4jh07tt1jqqurAfDS0Q4RERGR\nLju5AxEgO6/UgZUMbq5+fgxbupQpL7zAxGefJXLJEpw8PACoO3qUA889x8dLl5L++99T8vnnmK2t\nDq5YREREpOd0agdibGwsO3fupLy8nLvuuosJEybw/PPPYxiGPUCcNGlSu8ccPHgQwzAICQnp+apF\nREREBonwQG98PFyprm8iO6+UqUlDHV3SoGYYBn6jRuE3ahRxd9zBiS1byF+zhso9ezBbWzmxdSsn\ntm7FbcgQIhYtImLBAjzCwx1dtoiIiEi3dCpAnDVrln1gyoYNG9iwYYN9cArYeh6mpKTY1x84cIDy\n8nIMwyAmJqYXyhYREREZHAzDID4qiC8PHCdLOxD7FGdPTyIWLiRi4UJqjxwhf80ajq9bR3NlJY3F\nxRx+6SUOv/wygRddROTixQyZNg2Lq6ujyxYRERE5b506wnzjjTcSERHR7raT4aFhGNx5553t7lu9\nerX989TU1O7WKCIiIjKoJQy1HWM+eqKSusZmB1cjHfGKjib+jjuY/uabJN93H0GTJoFhgGlStnMn\nGffdx8dLl5L1t79Rc+iQo8sVEREROS+dChA9PT154YUXGDVqFKZp2j+cnJy44447uPrqq+1rGxoa\nWLVqlf3radOm9XzVIiIiIoNIfKQtQDRNOJhf5uBq5FwsLi6EzpjBuIcf5pLXXiPmf/4H99BQAJqr\nqjj25pt89r3v8cUdd5C/ejUtpw0pFBEREemrDPNkE8NOyszM5PDhw7i6upKamsqQIUPa3V9TU0NW\nVpbtyQ2D8ePH91y1AsCcOXMA2Lhxo4MrERERkQuhuaWVHz7+Ps0tVq6elsjSS5McXZKcB7O1lbJd\nu8hfs4bibdswW1rs9zm5uxM6ezYRixfjl5RkP+UjIiIicj56OyvqVA/E040aNYpRo0ad9X5vb28u\nuuiibhUlIiIiIqe4ODsREx5A1rFSTWLuhwwnJ4ImTiRo4kSaKio4/uGHFKxZQ21uLq0NDRSsXUvB\n2rV4DR9OxOLFhM+di6u/v6PLFhEREbHr1BFmEREREXGshCjbMeaDBWW0tFodXI10lau/P9HXXceU\nFSuY8PTTRCxahJO7OwC1ubkcePppPl66lPR776X0iy8wrfr/WkRERBzvvHcgioiIiMiFF98WIDY2\nt3L0RCUx4QEOrki6wzAM/EePxn/0aOLvvJOiTZvIX7OGqsxMzJYWTnz0ESc++gj30FD7pOeTvRRF\nRERELjQFiCIiIiL9wMlBKgDZeaUKEAcQZ09PIpcsIXLJEmoOHSJ/7VoK16+nuaqKhqIiDr34Iode\neomgiROJWLSIIdOmYXFxcXTZIiIiMogoQBQRERHpB7w8XIkK9iWvpIqsvFIWTIx1dEnSC7xjYki4\n807ili2j+JNPyF+zhrKdO8E0Kd2xg9IdO3Dx9yd83jwiFy/GKzra0SWLiIjIIKAAUURERKSfiB8a\nRF5JFdl5pZimqYm9A5jF1ZXQWbMInTWL+uPHKfjgAwrWrqWxuJjmigqOvv46R19/Hb8xY4hcvJiQ\nGTNw9vR0dNkiIiIyQGmIioiIiEg/cfIYc0VNA8UVdQ6uRi4Uj/BwRt56K5e89hpjH3qIkEsvxXBy\nAqByzx72PfQQH197LZmPPEJlZiamaTq4YhERERlotANRREREpJ9IGHqqD2JWXikhAV4OrEYuNMPJ\nieDJkwmePJmm8nKOr1tH/tq11B09Smt9PfmrV5O/ejXeMTFELFpE2Ny5uPr5ObpsERERGQC0A1FE\nRESknxji54m/tzsA2XklDq5GHMk1IIDoG25g6ksvMeGvfyV8wQIs7rZ/N2oOHSL7b3/j46VLybj/\nfkp37sS0Wh1csYiIiPRnPbIDsbm5mRMnTlBfX09srBp6i4iIiPQGwzBIiAri8/35ZOeVOboc6QMM\nw8A/ORn/5GQSfvxjCjdtomDNGqr278dsbqZo0yaKNm3CPSyMkEsvxT8lBf/kZO1MFBERkfPSrQAx\nKyuLJ554gu3bt9PU1IRhGOzbt4+nn36avLw8XFxc+MMf/oBTW48WEREREeme+LYAMa+kipr6Jrw9\nXB1dkvQRzl5eRF1+OVGXX051Tg4Fa9dyfP16WqqraSgstA9eAfAaPtwWPLYFih5hYQ6uXkRERPqy\nLgeImzZt4u6776axsfGMRs0uLi688847GIbB7NmzmTlzZnfrFBEREREgIepUH8QD+aWMiw13YDXS\nV/mMHEnCj39M7LJlFG/bxvH166lIT6e1vh6A2txcanNzyX//fQDcQkIIaAsT/VNS8IqOxrCo25GI\niIjYdClALCoq4he/+AUNDQ0YhoFhGO1CxPnz5/PYY48BsG3bNgWIIiIiIj1kWKgfbi5ONDa3kpWn\nAFHOzcnNjbA5cwibMwdrSws1hw5RkZ5u+8jIoKm8HIDGEyco3LCBwg0bAHDx9cVvzBj8U1IISE7G\nJz4ei4uLIy9FREREHKhLAeJLL71EbW0thmEAth2HTU1N9vujo6MJCQmhuLiYjIyMnqlURERERHCy\nWIiNDGRvbjHZeaWOLkf6EYuzM77x8fjGxzNs6VJM06QuL4+KjAx7qFhfUABAc1UVJdu3U7J9u+2x\nbm74JSXZjzz7JSXh7OnpyMsRERGRC6hLAeLHH38MgMVi4ZVXXmHFihWsX7++3ZoRI0Zw4sQJjh07\n1v0qRURERMQuPjKIvbnFHCoop7mlFRdn9ZuW82cYBl5Dh+I1dCiRixYB0FhSQkVGBuVtOxRrcnLA\nNLE2NlL+1VeUf/WV7bEWCz5xcbZA8eRgFn9/R16OiIiI9KIuBYj5+fkYhsHYsWMZN24cK1asOGON\nt7c3ANXV1d2rUERERETaSRhq64PY3Golt7CCuNP6Iop0h1twMKGzZhE6axYALTU1VOzda9+hWNk2\n3dm0WqnKyqIqK4ujb7wBgOfQofZAMSAlBfewMPuJJREREenfuhQgtrS0AODj43PWNWVlZQCawCwi\nIiLSw2IjAjEMME3IyitVgCi9xtnbm+DJkwmePBmA1sZGqrOyKD957HnPHlprawGoO3aMumPHKFiz\nBrCFkfZJzykpeI8YocEsIiIi/VSXAsSAgACKiorIysrq8P6ysjL27t2LYRgEBgZ2q0ARERERac/D\nzYXoED9yiyrVB1EuKCc3N3sgyM03Y7a2UnPoEOUZGVS2HX1uKrX9O9lYUkLR5s0Ubd4M2MJI/7bB\nLP4pKfjGx2NxdXXk5YiIiEgndSlATEpKoqioiMLCQh544AFq2951BEhPT+fPf/4zTU1NGIbBmDFj\neqxYEREREbGJjwqyB4imaeqoqDiE4eSET1wcPnFxcM01mKZJfUGBfcpzRUYGdW090Vtqaij57DNK\nPvsMAIurK76jRuGfnExASgp+o0fj7OXlyMsRERGRs+hSgLho0SI2t72TuHLlSvvtpmly/fXXt1u7\ncOHCbpQnIiIiIh2Jjwpm/ZeHqK5v4nhZDRFBZ28tI3KhGIaBZ2QknpGRRLT9HdBYVnZq0nNGBtUH\nD4LVirWpiYq0NCrS0sgFsFjwGTnSPpTFPyUFN51mEhER6RO6HCC+/PLLZGRkYBhGu3e9T/98zJgx\nLFiwoOeqFREREREA4qNOBSvZeaUKEKXPcgsMJHTGDEJnzACgpbaWyr177dOeqzIzsTY1gdVK9YED\nVB84wLG33gLAMyrqVKCYnIxHZKR224qIiDhAlwJEJycnnnnmGX74wx+yf//+M+43TZO4uDj+9re/\n6Qe8iIiISC8I8vUk2M+Tkso6svNKmZk63NEliXSKs5cXQZMmETRpEgDWpiaqsrPbHXtuqakBoC4v\nj7q8PArWrgXANSjIvjsxIDkZ75gYDA1tFBER6XVdChABhgwZwptvvsk777zDxo0bycvLAyAqKorZ\ns2dz9dVX4+Li0mOFioiIiEh78ZFBlFTWkXVMg1Sk/7K4utqGq7T1TjetVmpzcylPT7eFiunpNJaU\nANBUWsqJjz7ixEcfAeDk5YX/6NGnBrMkJODk5uaoSxERERmwuhwgAjg7O3Pddddx3XXX9VQ9IiIi\nItJJCUOD2L7vGIXlNVTWNuDn5e7okkS6zbBY8I6JwTsmhqFXXYVpmjQUFtr7KJanp1N39CgArbW1\nlO7YQemOHbbHurjgl5ho36XoN3o0Lj463i8iItJd3QoQT2eaJg0NDXh4ePTUU4qIiIjIOcRHBdk/\nz84rZWJCpAOrEekdhmHgER6OR3g44fPmAdBUUWE/7lyRnk51djam1YrZ3Gy/nZUrwTDwjomxHXlu\n66XoFhzs4CsSERHpf7oVIBYXF/P888+zefNmCgsLMU2Tffv28dprr1FSUoKzszPLly/vqVpFRERE\n5DRRwb54urlQ19hMlgJEGURc/f0JmT6dkOnTAWipq6Ny3z57oFi5bx/WxkYwTWpycqjJySHvnXcA\n8IiIsO9Q9E9JwTMqSn3bRUREvkGXA8Tdu3dz++23U1FRgWmaAPYfvEVFRTz77LMYhsG4ceOYPHly\nz1QrIiIiInYWi0FsZCDph4rIzlMfRBm8nD09CZowgaAJEwCwtrRQ3TaYpTwjg8qMDJqrqgCoLyig\nvqCA4+vWAeAaEIBfcjIBbaGi98iRWJx77KCWiIjIgNCln4wVFRXceeedlJeXYxgGhmHYQ0SA+fPn\n8+yzzwKwZcsWBYgiIiIivSQhKoj0Q0XkFlbQ2NyCm4uCDxGLszN+SUn4JSURfcMNtsEsR4/ah7JU\nZGTQUFQEQFN5OcVbt1K8dSsATh4e+I0ZY9ulmJyMX1KSBrOIiMig16XfMF955RVKSkrOCA5PSkxM\nJCAggIqKCtLS0rpdpIiIiIh07GQfxFaryaHj5YwaNsTBFYn0PYbFgvfw4XgPH07UFVcA0FBUZJv0\n3HbsuTY3F4DW+nrKvviCsi++sD3W2RnfhATbkefkZPzHjMHF19dRlyIiIuIQXQoQN2/ebP/80Ucf\n5b///S8bNmxotyY2NpYvvviCI0eOdK9CERERETmrkREBOFkMWq0mWcdKFSCKdJJ7aCjhc+cSPncu\nAE2VlVTu2WOf9FydnY3Z2orZ0kLl3r1U7t3LkVdfBcBrxAjbUJa2UNE9JMSRlyIiItLruhQgHjly\nBMMwGDNmDIsXL2ZdW/+Q0/n4+ABQWVnZvQpFRERE5KzcXJwZHuZPTkG5+iCKdIOrnx9Dpk1jyLRp\nALQ2NFCZmWk/9ly5dy+tDQ0A1B4+TO3hw+S99x4A7mFh9sEsASkpeA4bpsEsIiIyoHQpQGxo+8EZ\nFBR01jXV1dUAWCyWrryEiIiIiHRSfFQQOQXl7D9WQk5BGSMjAh1dkki/5+TuTuC4cQSOGwe0DWY5\neNB+5LkiPZ3mts0SDYWFFBYWUvjhhwC4+PmdmvScnIxPXJwGs4iISL/WpZ9i/v7+lJSUcPjw4Q7v\nr6mpYe/evfa1IiIiItJ7piRG8cGOgzQ2t/KnlR/zk6smMzY2zNFliQwoFmdn/BIT8UtMJPq66zBN\nk7qjR6nIyKA8PZ3KjAzqjx8HoLmykuJt2yjetg2whZF+SUm2QDElBb9Ro3Dy8HDk5YiIiJyXLgWI\nCQkJlJSUcPToUf7xj3/Q2tpqv6+kpIT77ruPuro6DMNg1KhRPVasiIiIiJwpNjKQu66ZzNPvfUFj\ncyuPvvkp3184jpmpwx1dmsiAZRgGXtHReEVHE7lkCQANJ07Ydii27VKsOXwYTJPWhgbKdu2ibNcu\n22OdnPCJj2+3S9HVz8+RlyMiInJOhtnRGOVv8Oqrr3Lfffe16+thmiaGYdgnM5/8+oEHHmDp0qU9\nWvRgN2fOHAA2btzo4EpERESkL8k6VsIjb35KXUMzAEunj+KqaYnqxSbiIM3V1VTu2WOf9ly1fz9m\nS0uHa72GD7cFim2hokeYdhGLiEjn9XZW1KUAsbGxkSuuuIKjR48Cp8LDr38eHR3Nf/7zH1xdXXuw\nZFGAKCIiImeTV1LFw6s+obSqHoDZ40bwP/NScVJfahGHa21spCoz81Qfxb17aa2r63CtW0iIbdJz\nW6DoFR2Nof+ORUTkLPpkgAiQk5PD9773PYqKis54V9s0TYKDg3nxxReJjY3tkULlFAWIIiIici6l\nVXU8/Pp28oqrABgfF86dV07EzUVDHET6EmtLCzWHDtmHslRkZNBUXt7hWhdfX/zGjLFNek5Oxic+\nHouLywWuWERE+qo+GyACVFVV8cILL7Bx40by8vIAiIqKYvbs2dx6660aoNJLFCCKiIjIN6ltaOLx\ntz4j82gJAHGRgfzv0qn4eLo5uDIRORvTNKnPz7cdeW77qC8o6HCtxc0Nv1GjTg1mSUrC2dPzAlcs\nIiJ9RZ8OEMUxFCCKiIhIZzS3tPLs6p18npkPQHigN7+8fhpD/L0cXJmIdFZjaan9yHN5ejo1OTnQ\nwZ9whsWCT1ycfSiLf3IyrgEBDqhYREQcoU8GiCeL8vT05O2338ZFW+cvKAWIIiIi0llW0+TfGzP4\n4IuDAPh7ufGL66cxPFQnRUT6o5aaGir27rUfea7KzMTa3NzhWs+hQ+07FANSUnAPC9NQJRGRAaq3\ns6IuNcIpLi6mubmZyZMnKzwUERER6cMshsEtl6UQ6OPByk0ZVNQ28sArW/nZtVMYMzzE0eWJyHly\n9vYmePJkgidPBmyDWaqzsig/OZhlzx5aa2sBqDt2jLpjxyhYswYAt+Bg+1AW/5QUvEeM0GAWERHp\nlC4FiBERERw5ckTvXomIiIj0E4snxxHg7c5zq3fS0NTCw6s+4bbFFzFtzDBHlyYi3eDk5mYPBLn5\nZszWVmoOH7bvUCxPT6eptBSAxpISijZvpmjzZsAWRvqPGWMPFX0TErC4ujryckREpI/qUoA4f/58\nnn/+efbt20dNTQ3e3t49XZeIiIiI9LCLRw/F18uNx9/6jIamFp55fyflNQ0snhynN4ZFBgjDyQmf\n2Fh8YmMZes01tsEsBQX2PooVGRnUHTsG2I5Dl3z2GSWffQaAxdUV31Gj8E9OJiAlBb/Ro3H2Us9U\nERHpYg/Euro6brjhBg4cOMC0adN44IEHCA8P7436pAPqgSgiIiLdkVtUwV9WfUJFbSMACyaM5ObL\nUrAoRBQZFBrLytoFitUHD4LVeuZCiwWfkSNPDWZJScEtMPDCFywiIt+oTw5R+c53vkN1dTWZmZkY\nhoGTkxORkZGEhISc8e61YRi89NJLPVawKEAUERGR7iuuqOWhVZ9wvKwGgMmJkSy/fAKuzk4OrkxE\nLrSWujoq2wazlKen2wazNDV1uNYzKgq/th2K/snJeERGageziEgf0CcDxMTERPsPidMf/vUfHKZp\nYhgGmZmZ3SxTTqcAUURERHpCdV0jj775KQfyywAYNSyYn107BS939UATGcysTU1UHThg26HYtkux\npaamw7WugYHtdij6xMRgOOmNCBGRC63PB4jnogCxdyhAFBERkZ7S1NzK397bwZcHjgMQNcSX//et\niwny9XRwZSLSV5hWK7W5ufahLBXp6TQWF3e41snLC//Ro+2DXXwTEnByc7vAFYuIDD59NkDs9Aso\nQOxxChBFRESkJ1mtJi+u383Grw4DEOjjwS+vn0bUEF8HVyYifZFpmjQUFtr7KJanp1N39GiHaw0X\nF3wTEmxHntsGs7j4+FzgikVEBr4+GSDm5+ef1/rIyMjzfQk5BwWIIiIi0tNM0+S97Vm8sXUfAJ7u\nLvzv0qkkDg12cGUi0h80VVTYAsW2ULE6Oxuzo8EshoF3TIz9yHNASgpuwfo+IyLSXX0iQNy/fz8A\nvr6+RERE9Eoh0nkKEEVERKS3bEnP5R9rv8Jqmrg4Wbj9iolMTtSbwSJyflrq6qjKzLQdec7IoHLf\nPqwNDR2u9YiIsAeK/snJeA4dqsEsIiLnqU8EiCd7Hs6fP58nnniC2bNnYxgGM2bM4Pe//32vFCZn\npwBRREREetPunEKeeudzGptbMYBb5qYyf8JIR5clIv2YtaWF6uxs+1CWiowMmquqOlzrGhBgm/Tc\nFip6jxyJxdn5AlcsItK/9HZWdF7fhU9mjQUFBRiGQWlpaa8UJSIiIiKOM3ZkGPfcNJ1H3viUqrpG\nXv4wjfLqeq6fOVq7gkSkSyzOzvglJeGXlET0DTfYBrMcPdpu0nNDUREATeXlFG/dSvHWrQA4eXjg\nd3IwS3IyfklJGswiInKBnVeAWFtb21t1iIiIiEgfMjIikD/cMoOHV31CUUUt73+WTXlNAz9cNB5n\nJ4ujyxORfs6wWPAePhzv4cOJuuIKABqKitpNeq7NzQWgtb6esp07Kdu50/ZYZ2fbYJaxYwkYOxa/\n0aNx9tTkeBGR3tSpI8xjx46lsbERJycn5s+fz5o1azAMg4iICCZNmnTuFzAM/vznP/dYwaIjzCIi\nInLhVNY28Mjr2zlUWAFA8ogQ7rp6Mh5uLg6uTEQGuqbKSir37LEPZqnKysJsbT1jneHk1D5QHDNG\ngaKIDDp9ogfikiVLyMnJwTRNDMOwH2X+piMsJ9dnZmb2TLUCKEAUERGRC6uhqYWn3vmctEO244XD\nQ/34xbem4e/t7uDKRGQwaW1ooDIz03bkOS2Nij17sDY1nbHOsFjwOS1Q9E9OVqAoIgNen+iBOHv2\nbA4ePKieNyIiIiKDkLurM3cvnco//7uLrRlHyS2q5N6XP+KX108jPMjH0eWJyCDh5O5O4LhxBI4b\nB4C1qYmq/fsp2737VKDY2IhptVKVmUlVZiZHXn31zEBxzBicvbwcfDUiIv1Lp3Yg1tTUsHz5cna2\n9Zw4rxfQDsQepx2IIiIi4gimafLG1n28tz0LAG8PV35+3cXERQY6uDIREbA2N1O1fz/laWmU795t\nCxQbGs5caLHgGx/ffoeiAkUR6ef6xBHmkw4dOkRJSQnf+c53MAyDCRMm8OMf//gbH/dNfRLl/ChA\nFBEREUfasOsQL67fjWmCq7MTP75qEuPjwh1dlohIO9bmZqqysk4FihkZZw8U4+LaB4re3he+YBGR\nbuhTAeJJiYmJAMyfP58nn3yyx4uSc1OAKCIiIo62M7uAv723g+YWK4YB31swjjRfZ8EAACAASURB\nVNljRzi6LBGRs7K2tFCVlUXF7t32QLH1LIGiT2xsu0DRxUftGkSkb+uTAeKOHTsACAwMJDY2tseL\nknNTgCgiIiJ9QVZeKY++sZ3ahmYArrkkkWsuGaW+2SLSL1hbWqjOzqb89ECxvv7MhYaBz8kdiqmp\n+KekKFAUkT6nTwaIX1deXk592zfaiIiIbhcl56YAUURERPqK/JIqHlr1CaVVtt8FZ6YO53sLxuJk\nsTi4MhGR82NtaaH6wIFTgWJ6+tkDxbYdiv6pqQSkpipQFBGH6xcB4k9+8hM+/PBDDMNg3759PVGX\nnIMCRBEREelLyqvrefj17Rw9UQnAuNgw7rxyEu6uzg6uTESk66wtLVQfPNg+UKyrO3OhYeA9cqR9\nh2JAaiouvr4XvmARGdR6Oyvqsd/qeiCHFBEREZF+KMDHg9/dfClPvP0Ze48U89XBQv786sf8/LqL\n8fV0c3R5IiJdYnF2xi8xEb/ERIbfcAPWlhZqTgsUyzMyaK2tBdOk5uBBag4e5Nibb9oCxZiYUz0U\nU1Jw9fNz9OWIiHSL3hYWERERkW7zdHfhF9+6mOfXfMmn+/LIKSjnvpe38MvrpxES4OXo8kREus3i\n7IxvYiK+iYlE33ADZmvrGTsUW04Gijk51OTkcOyttwBsOxRTU08Fiv7+Dr4aEZHzowBRRERERHqE\ni7MTd1wxkQBvD9buOEBheQ33/usjfvGtixkRFuDo8kREepTh5IRvQgK+CQlEX3+9LVDMyTkVKKal\n2QJFOBUovv02AN4xMbb+iW3HnhUoikhfpwBRRERERHqMxTC4eU4ygT7uvLIxg8raRv7474+56+rJ\npMSEOro8EZFeYzg54Rsfj298PNHf+pYtUDx0qH2gWFMDQM2hQ9QcOkTeO+8A4DV8uP3Ic0BqKq4B\netNFRPoWBYgiIiIi0uMWTorD39uD51bvpKGphUfe2M4PF13E9ORhji5NROSCMJyc8I2Lwzcujujr\nrsNsbaXmZKCYlkZ5Whot1dUA1ObmUpubS9677wIKFEWk7+mRADEuLo7y8vKeeCoRERERGSCmJkXh\n6+XG4299Sn1jC8+t3klFTT1LpsRjGIajyxMRuaAMJyd84uLwiYtj2HXXYVqt7QLFirQ0mquqgA4C\nxejoU0NZUlNxCwx05KWIyCBkmBqf3O/09mhuERERkZ509EQlD6/6hPKaBgDmXRTDLZelYrEoRBQR\nOcm0Wqk5fPhUoLh7tz1Q/DrPYcPa7VB0Cwq6wNWKSF/T21mRAsR+SAGiiIiI9DcllXU8tOoTCkpt\nx/UmJkRwxxUTcXV2cnBlIiJ9k2m1Upuba++hWJ6WRnNlZYdrPYcOPRUojh2rQFFkEOrzAWJhYSFF\nRUU0NTWddc3EiRO78xLyNQoQRUREpD+qqW/i0Tc/JTuvFICEoUH877VT8fJwdXBlIiJ9nz1QTEuz\nh4qdChRTU3ELDr7A1YrIhdZnA8QNGzbwyCOPcOTIkXO/gGGwb9++LhUnHVOAKCIiIv1VU3Mrz7z/\nBV9kFQAQGezD//vWNIL9PB1cmYhI/2Ka5pmBYkVFh2s9o6La9VB0HzLkAlcrIr2tTwaIW7du5bbb\nbgNs37TO+QKGQWZmZteqkw4pQBQREZH+zGo1efnDND7cdQiAAB93/t+3pjEsxM/BlYmI9F+maVJ7\n5AgVpwWKTWcZduoRGWnfnRgwdizuISEXuFoR6Wm9nRV1aQrz888/j2maGIaBYRjfGCKKiIiIiJxk\nsRh8d14qgb4erPpoL+XVDdz/yhbuvnYqSdHaFSMi0hWGYeA9fDjew4cTdeWVmKZJ3dGjp3oonhYo\n1ufnU5+fT8GaNQB4RES066GoQFFEvq5LAeK+ffswDNvUvMDAQFJSUvDx8cHJSU2wRUREROSbGYbB\nFVMTCPB25+9rd1Hf2MJDqz7h9ssnMGVUlKPLExHp9wzDwCs6Gq/o6FOB4rFj7QPFsjIA6gsKqC8o\noGDtWuBUoOifmkrg2LG4h4Y68lJEpA/oUoB4UkBAAP/5z38I0oQnEREREemC6cnR+Hm588Tbn9HY\n3Mrf3t1BRU0DCybGOro0EZEBxTAMvIYNw2vYMKKuuMIWKObltQ8US21Drs4IFMPD8T/tyLNHWJgj\nL0VEHKBLAWJ8fDzp6emMGjVK4aGIiIiIdEtKTCi/u/lSHn59O1V1jfxrQzpl1fXcMGsMlrZTLyIi\n0rMMw8Br6FC8hg4l6vLLMU2T+vz8doFiY0kJAPXHj1N//DjH//tfANzDwuxhYsDYsXiEhzvyUkTk\nAuhSgLh06VLS0tI4cOAATU1NuLq69nRdIiIiIjKIjAgP4L7vzOTBVdsoKq9lzecHKCyr4ZbLUhji\n7+Xo8kREBjzDMPCMisIzKorIJUvOGSg2FBZyvLCQ4+vWAeAeGtq+h2JYmL3tmYgMDF2awmyaJj/4\nwQ/Yvn07l156Kb/+9a8ZPnx4L5TXcx5++GFeeOEFAH7605+yfPnyDtdt376dFStWkJGRQX19PRER\nEcybN4/bbrsNT0/PM9bX19fz8MMPs379eqqrq0lMTOTuu+9mypQpHT7/5s2buf3227n77rtZtmxZ\nl65FU5hFRERkoKqqa+SR17eTc9zW6N/FycK8CSO58uIEvNz1prWIiKOYpkl9QUH7QLG4uMO17qGh\n+H9th6ICRZHe1dtZUZcCxDlz5tDY2EhJSYn9m4Cnpyf+/v5nvoBhsGHDhu5X2g27du3i29/+NmD7\npnfXXXd1GCC++OKLPPjgg1gsFi666CKCg4PZuXMnxcXFxMTEsHLlyjOu8Sc/+Qnr168nPj6eoUOH\nsn37dpqbm1m5ciUpKSnt1tbV1bFo0SL8/f156623ujx0RgGiiIiIDGQNTS28unkPm746jLXtV1Vv\nd1euviSRy8bH4OxkcXCFIiJimib1x4+3DxRPnOhwrVtISPsjzxERChRFelifDBATExPt/7F/08MN\nwyAzM7Nr1fWAhoYGrrzyShobG0lOTmbDhg0dBoiZmZlcc801ODk58dxzz3HJJZcA0NjYyPLly/n0\n00+ZP38+Tz75pP0x+/fv56qrrmLatGn84x//wDAMPv30U2699VZmzpzJc8891+41/vjHP/Lqq6/y\n6quvnhEung8FiCIiIjIYFJRW89rmPXx54Lj9tlB/L66fNYZJCfrjU0SkLzFNk4bCwnaBYkNRUYdr\n3YYMaR8oRkbqe7pIN/V2VtStKczAOf8j70I22eMeeeQRjh49yvPPP89/2xq+duRk2HfNNdfYw0MA\nNzc3/vSnP3HZZZexfv16Dh8+zIgRIwDYs2cPhmFwzTXX2P85TJ06lejoaL766qt2z5+ens7KlSu5\n+eabuxUeioiIiAwWEUE+3L10KplHS1i5KYNDx8spqqjlqXc+Jy4ykJtnJxMXpYF+IiJ9gWEYeISH\n4xEeTsTChQDtdyimpdFQWAhAY3ExhRs2UNh2WtEtOLhdD0UFiiJ9T5cDxL4QDn6Tzz//nH//+99c\nddVVXHrppWcNEJubm9m6dSsAS5YsOeP+iIgIxo8fz5dffsmHH35o711YUVEBgJ+fX7v1/v7+FBQU\n2L9ubW3l97//PWFhYfzsZz/rkWsTERERGSxGDQvmvu/O5LN9eazaspeSyjoO5Jdx77+2MCkxkutn\njCYs0NvRZYqIyNd0GCimpVGelkbF7t3UH7ftMG8sKWkXKLoGBbULFD2johQoijhYlwLE/fv393Qd\nPa6uro7f/OY3DBkyhN/85jfnXJubm0t9fT2GYTBmzJgO14wZM4adO3e2O44dGRmJaZrk5OTYdy22\ntLRw5MgRQkND7eteeOEFsrKyePbZZzscxCIiIiIi52YxDC4ePZQJCRF8+GUO727Poq6hmR378/ky\nu4C542O4aloiPp5uji5VRETOwh4oLlgAQH1hoS1MTEujfPdu6ts24jSVllK0cSNFbUcxXQMD2weK\nQ4cqUBS5wLp9hLmvevDBBykoKODpp5/Gx8fnnGvz8vIA8PX1PWvAFxYW1m4twJQpU/Dy8mLFihWM\nHz+e4cOH8/TTT1NRUcGVV14JwLFjx3jmmWdYsGABM2fO7IErExERERm8XJ2dWDw5nkuTo3l3exYf\nfplDq9Xkg505bM04ypUXJzBvwkhcnbs2rE5ERC4cj7AwPMLCiJg/H4CGoiLbDsW2Y8/2QLGsjKJN\nmyjatAkA14CA9oHisGEKFEV6WY8FiOXl5QAEBAT01FN22bZt23j99ddZsmQJs2fP/sb1tbW1AHh4\neJx1jZeXFwA1NTX22wICAvj5z3/O/fffz3XXXQfY+j7ExcVx5513AnDvvffi4uLCPffc0+75Ghoa\ncHd3P78LExEREREAfDzduOWyFOZdFMOqj/by+f586hqbeXXzHj7cdYhvzRjN1KQoLPqDUkSk33AP\nDSV83jzC580DoOHEifaBYn4+AE3l5RRt3kzR5s1A+0DRPzUVr+hoBYoiPaxbAWJubi5//etf2bp1\nqz1Y8/LyYsaMGfzoRz8iJiamR4o8HzU1Ndxzzz0EBwfzu9/9rtdf78Ybb2T06NGsW7eOmpoaRo0a\nxdVXX42bmxv/+c9/+OSTT3jggQcIDg6moaGBhx56iPfff5+amhoCAgK48cYbufPOO7FYLL1eq4iI\niMhAExrgzU+unsyBvFL+vSmDA/lllFTW8cx/vuCDHQe4aU4yo4YNcXSZIiLSBe4hIYTPnUv43LkA\nNBQX2487l+/eTV3bCcGOAkX/k1OeU1PxGj5cgaJIN3U5QPz000/50Y9+RH19fbuBKjU1Naxdu5ZN\nmzbxzDPPMHXq1B4ptLP+9Kc/ceLECR5//PEzhpuczcndhfX19Wddc3KXorf3mQ26U1JSzpisXFlZ\nyYMPPsjEiRPtuxN//vOfs3nzZr7//e8zfvx4NmzYwDPPPEN9fT2//OUvO1WriIiIiJwpLiqIP9wy\ngy+yCnjtoz0UlddyqLCCP/77Y8bHhXPjrDFEBJ27rY2IiPRt7kOGEHbZZYRddhlgG75y+g7FumPH\nAFugeOKjjzjx0UcAuPj7E/D1QFGbeETOi2F2YZxyeXk5ixYtory8/Kwpvmma+Pv7s3btWgIDA7td\naGdNnDiR+vp6xo0bd8Z9hw8fprS0lIiICCIiIhgyZAiPPfYY2dnZXHHFFRiGwZdfftlhH8QHH3yQ\nF198kQULFvDEE098Yx2//vWvWbt2Le+99x7Dhw/n8OHDLFy4kCuuuIKHH37Yvu76668nMzOTzz//\n/JxHqE83Z84cADa2NZQVERERkVNaWq1s2HWIdz7ZT019E2AbwjJ77HCumT4KPy+1kRERGYgaS0vt\nYeLpgeLXufj5EZCaiv/YsQSOHatAUQaE3s6KurQDcdWqVfbw8GT+6OLiAkBzc7N9XWVlJatWreL2\n22/vgVI7xzAMWltb2blz51nXFBQUUFBQQGRkJAAjRozAw8ODhoYG9uzZw6RJk854zJ49ezAMg6Sk\npG+s4bPPPuOdd97hJz/5CcOHDwewT28eO3Zsu7Xjx48nPT2dgwcPkpyc3NnLFBEREZGzcHaysGBi\nLNOTh/GfT7NZ98VBmlutbPjqMNv2HuPyKfEsnBSLm8uAnScoIjIouQUFETZnDmFtQUpjaWn7HYpH\njwLQXFnJia1bObF1KwAuvr74t+1ODBg7Fu8RIxQoinxNl35r2rJli/3zmTNn8otf/IKRI0cCkJOT\nwyOPPMLmtt4DW7ZsuaAB4o4dO856369//Wveffdd7rrrLpYvX26/3cXFhRkzZvDBBx+wevXqMwLE\n/Px8vvrqKwDmtvVeOJumpib+8Ic/EBcXx7Jly+y3n9yp+fVj0ie/Vj8GERERkZ7l5e7KjbPGcNn4\nGN7YspdP9h6joamFN7buY8NXh7ju0tFMHzMMi0W/h4mIDERuQUGEzZ5NWNtw1cbSUirS0+2BYu2R\nIwA0V1VRvHUrxacHiqmppwLFmBgFijLodSlAPHToEAAhISE89dRTuLq62u8bOXIkTz75JHPnzqWo\nqIjDhw/3TKW9bNmyZaxbt463336buXPnMn36dMA2Lfmee+7BarUyf/58RowYcc7nefrppzl27Bgr\nV67E2fnUP97Ro0cD8P777/Ptb38bNzc3ysrKWL9+PW5ubsTGxvbexYmIiIgMYkP8PLnjioksmBjL\nyk0ZZB4toby6gf9b8yUffHGQm2aPIXlEqKPLFBGRXuYWFETorFmEzpoFQGNZWftAMTcXaAsUP/6Y\n4o8/BsDZx8cWJp4MFEeOVKAog06XAsTa2loMwyA+Pr5deHiSq6sr8fHxFBUV2YeP9BVna/mYlJTE\nr371Kx588EGWLVvGxIkTCQoKYufOnZSUlBATE8O99957zuc+cOAA//znP7nhhhvOOKo8bNgwFi9e\nzNq1a1m8eDFJSUns2rWL8vJybrvtNtzd1YtHREREpDfFhAdwz03T+epgIa9u3kNBaTVHT1Ty4Guf\nkBITyo2zxjAspHND+EREpP9zCwwkdOZMQmfOBGzDV+xHntPSqG3bENVSXU3xtm0Ub9sG2AJF/5QU\n21CWsWPxiYnBcHJy1GWIXBBdChA9PT2prq4mty2d/zrTNO33dTSQxJHOdVT4u9/9LvHx8axYsYL0\n9HTq6+sJDw/n2muvZdmyZd94Lb///e8JDg7m7rvv7vD+hx56iMjISN5//302b95MeHg43//+97n1\n1lu7dU0iIiIi0jmGYTA+LpzUkaFs3p3LWx9nUlXXSPqhIjIOFzEjJZql05MI8OnccDsRERk4XAMC\n2geKFRX2QLEiLY2attOYLdXVlHzyCSWffAKAs7d3+0Bx5EgFijLgdGkK89KlS+1DRW666SZ+9rOf\n4e3tDdh2Jz7++OO88sorGIbB6NGjefPNN3u88MFMU5hFREREekZ9YzOrP8tm7Y6DNLW0AuDm4sSi\nSXEsmRKPu6sGrYiIiE1TRcWpI89padTk5HS4ztnLq32gGBurQFF6XW9nRV0KEB977DH+7//+z76b\nz8XFhfDwcAzD4Pjx4zQ1NWGaJoZh8MMf/vCsO/KkaxQgioiIiPSssup63ty6j63pRzj5y7GflxtL\npycxIzUaJ/W6EhGRr2mqrGzXQ/FsgaJ7aCgT/vpX3ENCLnCFMpj0yQCxsLCQhQsX0tDQcNaeggAe\nHh6sXbuW8PDwbhUp7SlAFBEREekdR4oqeHXzHjIOn7DfFhnsw42zxjB2ZNg52+GIiMjgZg8U2449\n1+TkQFtmMvqeewifO9fBFcpA1ttZUZfeSg0LC+P+++/HYrFgGMYZHwAWi4X77rtP4aGIiIiI9BvR\nof786oZL+OX10xg6xBeA/JJqHnnjU/6/V7dxuLDcwRWKiEhf5ernR8j06STceSdT/vEPLnntNft9\nZmurAysT6b4un8W4/PLLeeGFF0hJSQFsg1NOfqSkpPDCCy9wxRVX9FihIiIiIiIXSkpMKH/+3hx+\nuGg8Ad7uAOw9UsxvV2zm2fd3UlJZ5+AKRUSkr3P28Tn1xfkf/hTpU7rVFXry5MmsWrWKsrIy8vPz\nMU2TqKgoAgMDe6o+ERERERGHsFgMZqYOZ8qoKP674wDvf5ZNY3Mr2/Yc5fPMPBZMiuWKKQl4urs4\nulQREemDTm97oR2I0t/1yFi5wMBAhYYiIiIiMiC5uzpz9SWjmDV2BG9ty+Sj3bk0t1p5/9NsPtqd\nyzWXjGL2uBE4O2nQioiInOa0AVxdGD8h0qfotxwRERERkU7w93bn+wvG8eAP5jA+NgyA6vomXvow\njV/+fQNfZOXrD0QREbEzTgsQsVodV4hID+jUDsSTk1xmzpzJ7373O/vXnWEYBhs2bOhadSIiIiIi\nfUxksC//e93F7DtSzMpNGRwurKCwvIYn3v6chKggbpqdTGykTueIiAx6px9hVoAo/VynAsT8/HwM\nw6CkpKTd1515h/X0M/8iIiIiIgNFUvQQ7v+fWXy69xirtuyltKqerLxS/vDyR0wZFcX1M0YTEuDl\n6DJFRMRBDCcn++cKEKW/61YPxG8KB3WEQ0REREQGMothMG3MMCYmRrJuZw7vbd9PfWMLn2Xm8UVW\nPvMmjOSqixPx9nB1dKkiInKBtctMFCBKP9fpHohfDwNN0/zGDxERERGRwcDV2YnLp8Tz+PL5zJ8w\nEieLQavV5L87DnL3c+tYu+MAzS2awCkiMtic7IOoHYjS33VqB+L+/fvP+bWIiIiIiICPpxvfmZvK\nvItG8tpHe/giq4Dahmb+vTGD9V/mcP2MMUwZFak2PyIig4XFAlarNllJv6cpzCIiIiIiPSws0Juf\nXjOF398yg9gI20CV4oo6/vbeDv7w8kdkHStxcIUiInIh2N8w0g5E6ed6PEBsamqitLRU6bqIiIiI\nDHoJUUHc+50Z/OSqSYT42waq5BSUc/8rW3n8rc84Xlrt4ApFRKRXtQ1S0RFm6e+6NESltLSUPXv2\nADBs2DBGjBgBwEMPPcTKlStpamoiICCA3/zmNyxZsqTnqhURERER6WcMw2DyqCjGx4WzYddh3vkk\nk9qGZnZmF/DVwePMGTeCqy8Zh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s4e5RRWKKewQpIUHerv6E5MigmRp4ebi+8CwGhyrAPR\n7OuTva9PFne2TMDo5NRXblJSklasWKHf//73jvDQOK7N3zAMmaap22+/XVOmTBmeSgEAAABgmLhZ\nLEqMDlZidLCunTdNR7p6VHioXnkltcqz1anhcIckqaK+VRX1rVqzrVge7hYlxYQcHeISpphQ/xN+\nDwKAz7Mc3QNRkuw9PQSIGLWc/sq9++67NX78eD3zzDPq6Og44ZyPj4/uuusu3XnnnUMuEAAAAADO\nND9vT82aGqVZU6NkmqZqm48or6RW+bZa7TlUr+7efvX22R0TnyUpcJy3ozsx1Romf18vF98FgJHm\nWAeiJPV3dcnd19eF1QDOG1L0fccdd+iGG27Q5s2bVVFxtMU/Olpz5syRv7//sBQIAAAAAGeTYRiK\nmDBOERPG6ZKZk9XXb1dRZePRQLFOtpoWSVJLe5c25pdpY36ZDElxEYFKO7p/4pToYLm7Wb78hQCM\neZbjAkQ7+yBiFHMqQDx+SMrll1+uSy+9dNgKAgAAAICRxN3NommTQjVtUqiWL5RaO7pVcHTvxHxb\nnZrbu2RKstW0yFbTon/kHJCXh5uSY0OVfnS5c8SEcSx3Bs5BbsctYe5nEjNGMacCxAceeECSZLVa\nddVVVw1rQQAAAAAwkvn7eumClBhdkBIj0zRV0dCqfNvAdOd95Q3q7bOru7dfucU1yi2ukSSFBvg6\nuhNT4kLl5+3p4rsAcDa40YGIMcKpANHf31+tra2aNGnScNcDAAAAAKOGYRiKCQ1QTGiALstKVE9v\nv/aVNwwEirZaVdS3SpLqD3do3a5SrdtVKsOQEiZOUJo1XOnWMMVPDJKbheXOwFh0/BCVfgJEjGJO\nBYhpaWnatGmTKisrh7seAAAAABi1PD3clB4frvT4cN2sNDW3dTrCxAJbndo6e2SaUlFlk4oqm/TW\npr3y9fZQyrHlzvHhCg1gyAIwVnx+iAowWjkVIH7rW9/Spk2bVFxcrPXr12vRokXDXRcAAAAAjHpB\n4300Pz1W89NjZTdNHappUd7R/RMPVDSq326qo6tX2/dXafv+KklS5IRxjuXOybGh8vYc0uxLAC7E\nEmaMFU79S2SxWHTFFVfoH//4h773ve/p6quvVlZWlsLCwmT5gtb7WbNmDblQAAAAABjNLIYha2SQ\nrJFBuvKCqers7tXesgbHMJbqpnZJUnVTu6qb2rV2Z4ncLIamRAcPLHeOD1NseKAsDGMBRo3jpzCz\nhBmjmVMB4q233irDMGQYhvr6+vTGG2/ojTfe+MJrDcNQYWHhkIoEAAAAgLHGx8tDMxIjNSMxUpJU\n33LEsdx5T2m9Orp71W83tbesQXvLGvT6hj0a7+OpVGuYY7pz0HgfF98FgC9z/BRmOhAxmg25F94w\nDJmmORy1AAAAAMA5KzTQT4szrVqcaVW/3a6SqmblHe1OLK5qkmlKbZ09yimsUE5hhSQpJtRfaUfD\nxKSYEHl6uLn4LgAcz+L5r4nr7IGI0czpAJHQEAAAAADODDeLRYnRwUqMDta185J1pKtHe0rrlW+r\nVZ6tTg2HOyRJ5fWtKq9v1XvbiuThblFSTIjS4wcCxegQfxksdwZcyrBYZPH0lL2nhyXMGNWcChCv\nvvrq4a4DAAAAADAIP29PZSVFKSspSqZpqqap3bHcufBQvbp7+9XbZ1e+rU75tjpJUtA4b8cwljRr\nmMb7en3FqwA4E9y8vWXv6WEJM0Y1pwLERx55ZLjrAAAAAACcAsMwFBk8XpHB43XJzMnq67frQEWj\nozuxtKZFktTc3qVP8sv0SX6ZDElxEYGO7sTEqGC5u508ABPA8Ds2SIUlzBjNhrwHIgAAAADAddzd\nLEqODVVybKiWL5RaO7pVcLQ7Md9Wp5b2LpmSbDUtstW06J0t++Xt6a7kSSFHpzuHKzzIj+XOwBly\nbJAKHYgYzQgQAQAAAGAM8ff10gUpMbogJUamaaq8vvXo0uZa7StvUG+fXV09ffqsuEafFddIkkID\nfJUWH650a5iSY0Pl5+35Fa8C4FTRgYixwKkA8YEHHjil6zw8PBQWFqa5c+cqMzPTmZcCAAAAADjJ\nMAxNCgvQpLAAXX5+onp6+7WvvMHRnVhR3ypJqj/coXW5Nq3LtcliGJo8McjRnRgfGSg3C8udAWe5\nHQ0Q7T09Lq4EcJ5TAeLbb799Wu3tTz/9tBYsWKDf/va38vX1deYlAQAAAABD5OnhpvT4gWBQkpra\nOh3diQW2OrV19shumiqqbFJRZZPe2rRXvt4eSo0LcwxkCQ3gdzrgdLjRgYgxYEhLmE3TlKSTwsTP\nHzdNUxs2bNA999yjZ599digvCQAAAAAYJhPG+2hBeqwWpMfKbpo6VNPi6E48UNGofrupjq5ebdtX\nqW37KiVJkRPGHe1ODNO0SaHy9mRnLODLWI7ugdjPHogYxZz+SW+a5gkB4fE+f9wwDEeImJOTozlz\n5jj7sgAAAACAM8BiGLJGBskaGaQrL0hSZ3ev9pY1KP9ooFjd1C5Jqm5qV3VTu9buPCg3i6Ep0cGO\n6c6x4YGyMIwFOIFjCTMdiBjFnAoQ//KXv2j16tX629/+puDgYN10002aOnWqDMPQvn379Morr6ip\nqUk333yzpk2bphdeeEHFxcWSpNWrVxMgAgAAAMAI5+PloRmJkZqRGClJqms54pjuvKe0Xh3dveq3\nm9pb1qC9ZQ167eM98vf1+tdy5/gwBY3zcfFdAK7nGKJCByJGMacCRE9PT7355pvy9fXVq6++qpiY\nGMe5JUuW6Gtf+5quuuoqvfbaa3rttdf0yiuvaPHixTpy5Ijy8/OHrXgAAAAAwNkRFuinxZlWLc60\nqt9u18GqZuXbapVXUqeD1U0yTam1o1tbCsu1pbBckhQT6u/oTpwaEyJPdzcX3wVw9rkdXcJsJ0DE\nKOZUgPjss8/Kbrdr+vTpJ4SHx8TGxmr69OnaunWr/u///k9PPfWUFi1apNWrV6u6unrIRQMAAAAA\nXMfNYtGU6GBNiQ7WtfOSdaSzR3sO1SvPVqu8klo1tnZKksrrW1Ve36p3Py2Sh7tF02JClBYfrnRr\nuKJCxp/WcE5gtGKICsYCpwLE3NxcGYahxsbGQa85fPiwJGnHjh2SpMjIgbb3Lr5hAAAAAGBM8fPx\nVFZSlLKSomSapqqb2h3TnQsP1au7t1+9fXbl2eqUZ6vTy8pX0HhvpVsHuhNT48I03tfL1bcBnBEM\nUcFY4FSAeCwELCoq0h/+8AfdcccdslgsjvMvvfSS9u7dK0nq7Bx458lut0uS/Pz8hlQwAAAAAGDk\nMgxDE4PHa2LweF06c7J6+/pVVNnkmO5cWtMiSWpu69KGvEPakHdIhqTMhAgtzUpU8qQQOhMxprh5\nekpiCTNGN6cCxNjYWBUVFck0TT3++ON66aWXlJiYKMMwVFJScsIy5bi4OElSfX29JCk4OHjoVQMA\nAAAARgUPdzclx4YqOTZUNyyUDh/pUkFpvWO6c0t7l0xJnxXX6LPiGsWGB2jpzATNSY6WB3smYgw4\n1oFo7+mRabfLOK4BCxgtnAoQr7vuOv3yl7+UYRgyTVN1dXWOgNA0Tcd1hmHouuuukyTt2rVLhmEo\nOTl5GMoGAAAAAIxGAX7empsSo7kpMTJNU+X1rcopLNe63FK1d/XoUO1h/f7dnXrt4wJdNCNeS2bE\ny5/lzRjFju2BKA10Ibr5MJ0co49TAeItt9yinJwcrV+//qTW8mN/Nk1Tixcv1s0336zKykr19vYq\nMjJS8+bNG3rVAAAAAIBRzzAMTQoL0KSwAF01N0kb88v0/vZiVTe1q+VIt97YuFfv5OzX3JRJWjYr\nQdGh/q4uGThtx6YwSwP7IBIgYjRyKkC0WCx6+umn9cc//lHPP/+8WlpaTjgfGBio2267zbE3YlRU\nlNatWzcsBQMAAAAAxh4vD3ddNCNeizOtyjtYqzXbi1VQWqfePrs+3l2qj3eXKs0apmWzEpQeH84+\niRg1LJ/rQARGI6cCRGkgRLzzzjt12223qbCwUJWVlZKkqKgopaSkyN3d6acGAAAAAJyjLIahjIQI\nZSREqKzusN7fXqwte8rV228/Otm5ThODx2vZrARdmDpJnh7sk4iR7fglzP1Hh9ICo82QUz4PDw9N\nnz5d06dPH456AAAAAACQJE0KC9CKy8/T8oUp+ugzmz76rEStHd2qamzTn97P1Wsb9uiiTKsuOi9e\nQeNYFoqRyfK5JczAaDTkANFms+njjz9WRUWFJCk6OloLFixQfHz8kIsDAAAAACDAz1vXzpumf5sz\nRTmF5VqzrVjl9a1q7+zR37fs1+qtB3RBcoyWZiUoLjzQ1eUCJzhhiAodiBilnA4Q+/r69LOf/Uxv\nvPHGCZOXJenXv/61rrnmGj300EPy8PAYcpEAAAAAAHi6u2lBepzmp8VqT2m91mwv0q6Dteq3m9pY\nUKaNBWWaNilEy7ISlJkQKQv7JGIEOGGISk+PCysBnOd0gHjfffdpzZo1jvDw+OnLpmnqzTffVHt7\nu5544onhqRQAAAAAAA38/plqDVOqNUxVjW16f3uxNuaXqaevX3vLGrS3rEHhQX5aOjNB89Nj5e3J\nHv1wHYunp+Nz9kDEaGVx5kE5OTl67733JJ0cHB47ZpqmPvjgA23evHmYSgUAAAAA4EQTg8frtqWZ\nevI7S7V8YYqCxg10e9U2H9GfP9yt7z29Rq+sy1dja4eLK8W56vgORKYwY7Ry6m2YN954w/G5xWLR\nxRdfrKSkJEnS/v379eGHH6q/v1+S9NZbb2nu3LnDUCoAAAAAAF9svK+XrpgzVZdlJerTvRVas71Y\ntpoWdXT16t1Pi7RmW7GykqK0bFaCEqImuLpcnEMsx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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe6fc565f90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "gs1 = gridspec.GridSpec(10, 1)\n",
    "ax1 = fig.add_subplot(gs1[0:9])\n",
    "ax2 = fig.add_subplot(gs1[9:10])\n",
    "\n",
    "fig.set_size_inches(2250 / 150, 1225 / 150)\n",
    "\n",
    "title_loc = \"left\"\n",
    "title_fontsize = 18\n",
    "title_kwargs = {\"loc\": title_loc, \"fontsize\": title_fontsize, \"fontweight\": \"bold\"}\n",
    "\n",
    "# observed survival\n",
    "obs_above = plot_obs_survival(data=d.query('snv_count_at_median == \"above median\"'),\n",
    "                              label='Missense SNV above median',\n",
    "                              ax=ax1)\n",
    "obs_below = plot_obs_survival(data=d.query('snv_count_at_median == \"below median\"'),\n",
    "                              label='Missense SNV below median',\n",
    "                              ax=ax1)\n",
    "obs_above.set_xscale(\"log\", nonposx='clip')\n",
    "obs_below.set_xscale(\"log\", nonposx='clip')\n",
    "_ = obs_above.axes.set_xlim([7, 1097])\n",
    "_ = obs_above.axes.set_ylabel('Progression-free Survival (%)')\n",
    "_ = obs_above.axes.set_xlabel('')\n",
    "_ = obs_above.xaxis.set_ticks([])\n",
    "_ = obs_above.xaxis.set_ticklabels([])\n",
    "_ = ax1.legend()\n",
    "ax1.set_title(\"C\", **title_kwargs)\n",
    "\n",
    "# event freqs\n",
    "event_above_med = ax2.bar(left='pfs', height='above median', color='r', width=0.7, alpha=0.5, data=pfs_events)\n",
    "event_below_med = ax2.bar(left='pfs', height='total', color='b', bottom='above median', width=0.7, alpha=0.5, data=pfs_events)\n",
    "_ = ax2.set_ylabel('')\n",
    "_ = ax2.set_xscale('log', nonposx='clip')\n",
    "_ = ax2.set_xlim([7, 1097])\n",
    "_ = ax2.set_xlabel('Days', labelpad=2)\n",
    "_ = ax2.set_yticks([])\n",
    "_ = ax2.set_xticks(np.exp([2, 3, 4, 5, 6, 7]))\n",
    "_ = ax2.set_xticklabels(\n",
    "    [r\"%d ($e^%d$) \" % (int(round(np.exp(x))), x) for x in [2, 3, 4, 5, 6, 7]], rotation=\"vertical\")\n",
    "#ax2.legend_.remove()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next we attempt to fix the bar-width spacing, using a variation of a method described [on stackoverflow](http://stackoverflow.com/questions/26759813/bars-width-are-wrong-using-log-scale-of-x-axis)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def plot_bar_logscale(left, height, width, data, bottom=None, color='r', alpha=1, ax=plt):\n",
    "    # prep data (among non-NaN values, etc)\n",
    "    varlist = [left, height]\n",
    "    if bottom is not None:\n",
    "        varlist.append(bottom)\n",
    "    tmpdata = data.dropna(subset=varlist).copy()\n",
    "    x = tmpdata[left]\n",
    "    y = tmpdata[height]\n",
    "    if bottom is not None:\n",
    "        bot = tmpdata[bottom]\n",
    "    else:\n",
    "        bot = pd.Series(np.zeros(len(x))).astype(float)\n",
    "    # prep rectangle widths\n",
    "    for i in range(len(x)):\n",
    "        ax.fill([10**(np.log10(x[i])-width), 10**(np.log10(x[i])-width), 10**(np.log10(x[i])+width), 10**(np.log10(x[i])+width)], [bot[i], y[i], y[i], bot[i]], color=color, alpha=alpha)\n",
    "    _ = plt.xscale('log', nonposx='clip')\n",
    "    #rects = ax.bar(left=x, height=y, bottom=bot, linewidth=0, align=\"center\", width=.01, alpha=alpha, color=color)\n",
    "    #return(rects)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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dLgAAMC6kKHnxxRf1yiuvKD4+Xr/85S8DChKv16vMzEzl5uZ2uS87O1uO4+iNN97Qu+++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\nAgAATCBKAACACf8fZXb6WoP4nMoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe7b2868bd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rects = plot_bar_logscale(left='pfs', height='above median', color='r', width=1e-2, alpha=0.5, data=pfs_events)\n",
    "_ = plt.ylim([0, 3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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fvqy6urou15VUfP6bp21f4GZSUSFt2iSVlEhhYVJTkzR1al/Pqu9VVEg//7n05V8ZdXXS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\nAQAAJhAlAADAhP8HZr8robDGqrAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe6fb9bc190>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rects2 = plot_bar_logscale(left='pfs', height='total', bottom='above median', color='b', width=1e-2, alpha=0.5, data=pfs_events)\n",
    "_ = plt.ylim([0, 3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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c5GSKTp0CvZ7yzEzSN24kfeNGTG1tce3TB9ewMFx69cLsyrejf5aNlTmdfVzp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\nSBr877lmzRp5e3srMTHRlVsFAAAAAIwSYUH+um1Rhv73m0t0+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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe7a7a33650>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "gs1 = gridspec.GridSpec(10, 1)\n",
    "ax1 = fig.add_subplot(gs1[0:9])\n",
    "ax2 = fig.add_subplot(gs1[9:10])\n",
    "\n",
    "fig.set_size_inches(2250 / 150, 1225 / 150)\n",
    "\n",
    "title_loc = \"left\"\n",
    "title_fontsize = 18\n",
    "title_kwargs = {\"loc\": title_loc, \"fontsize\": title_fontsize, \"fontweight\": \"bold\"}\n",
    "\n",
    "# observed survival\n",
    "obs_above = plot_obs_survival(data=d.query('snv_count_at_median == \"above median\"'),\n",
    "                              label='Missense SNV above median',\n",
    "                              ax=ax1)\n",
    "obs_below = plot_obs_survival(data=d.query('snv_count_at_median == \"below median\"'),\n",
    "                              label='Missense SNV below median',\n",
    "                              ax=ax1)\n",
    "obs_above.set_xscale(\"log\", nonposx='clip')\n",
    "obs_below.set_xscale(\"log\", nonposx='clip')\n",
    "_ = obs_above.axes.set_xlim([7, 1097])\n",
    "_ = obs_above.axes.set_ylabel('Progression-free Survival (%)')\n",
    "_ = obs_above.axes.set_xlabel('')\n",
    "_ = obs_above.xaxis.set_ticks([])\n",
    "_ = obs_above.xaxis.set_ticklabels([])\n",
    "_ = ax1.legend()\n",
    "ax1.set_title(\"C\", **title_kwargs)\n",
    "\n",
    "# event freqs\n",
    "event_above_med = plot_bar_logscale(left='pfs', height='above median', color='r', width=5e-3, alpha=0.5, data=pfs_events, ax=ax2)\n",
    "event_below_med = plot_bar_logscale(left='pfs', height='total', bottom='above median', color='b', width=5e-3, alpha=0.5, data=pfs_events, ax=ax2)\n",
    "_ = ax2.set_ylabel('# Events', rotation=0, fontsize='small', verticalalignment='center', horizontalalignment='right')\n",
    "_ = ax2.set_xscale('log', nonposx='clip')\n",
    "_ = ax2.set_xlim([7, 1097])\n",
    "_ = ax2.set_xlabel('Days', labelpad=2)\n",
    "_ = ax2.set_yticks([0, 2, 4])\n",
    "_ = ax2.tick_params(direction='out', axis='y', which='both', length=3, width=1, left=False, right=True, labelleft=False, labelright=True, labelsize='small')\n",
    "_ = ax2.set_xticks(np.exp([2, 3, 4, 5, 6, 7]))\n",
    "_ = ax2.spines['top'].set_visible(False)\n",
    "_ = ax2.spines['right'].set_visible(False)\n",
    "_ = ax2.spines['left'].set_visible(False)\n",
    "_ = ax2.spines['bottom'].set_visible(True)\n",
    "_ = ax2.set_xticklabels(\n",
    "    [r\"%d ($e^%d$) \" % (int(round(np.exp(x))), x) for x in [2, 3, 4, 5, 6, 7]], rotation=\"vertical\")\n",
    "#ax2.legend_.remove()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Update colors to match those used for benefit/non-benefit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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c5GSKTp0CvZ7yzEzSN24kfeNGTG1tce3TB9ewMFx69cLsyrejf5aNlTmdfVzp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\nSBr877lmzRp5e3srMTHRlVsFAAAAAIwSYUH+um1Rhv73m0t0+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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe6fb6674d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "gs1 = gridspec.GridSpec(10, 1)\n",
    "ax1 = fig.add_subplot(gs1[0:9])\n",
    "ax2 = fig.add_subplot(gs1[9:10])\n",
    "\n",
    "fig.set_size_inches(2250 / 150, 1225 / 150)\n",
    "\n",
    "title_loc = \"left\"\n",
    "title_fontsize = 18\n",
    "title_kwargs = {\"loc\": title_loc, \"fontsize\": title_fontsize, \"fontweight\": \"bold\"}\n",
    "\n",
    "# observed survival\n",
    "obs_above = plot_obs_survival(data=d.query('snv_count_at_median == \"above median\"'),\n",
    "                              label='Missense SNV above median',\n",
    "                              ax=ax1)\n",
    "obs_below = plot_obs_survival(data=d.query('snv_count_at_median == \"below median\"'),\n",
    "                              label='Missense SNV below median',\n",
    "                              ax=ax1)\n",
    "obs_above.set_xscale(\"log\", nonposx='clip')\n",
    "obs_below.set_xscale(\"log\", nonposx='clip')\n",
    "_ = obs_above.axes.set_xlim([7, 1097])\n",
    "_ = obs_above.axes.set_ylabel('Progression-free Survival (%)')\n",
    "_ = obs_above.axes.set_xlabel('')\n",
    "_ = obs_above.xaxis.set_ticks([])\n",
    "_ = obs_above.xaxis.set_ticklabels([])\n",
    "_ = ax1.legend()\n",
    "ax1.set_title(\"C\", **title_kwargs)\n",
    "\n",
    "# event freqs\n",
    "import matplotlib.colors as colors\n",
    "red = colors.hex2color(\"#bb3f3f\")\n",
    "blue = colors.hex2color(\"#5a86ad\")\n",
    "red_hex = \"#bb3f3f\"\n",
    "blue_hex = \"#5a86ad\"\n",
    "event_above_med = plot_bar_logscale(left='pfs', height='above median', color=red_hex, width=5e-3, alpha=1, data=pfs_events, ax=ax2)\n",
    "event_below_med = plot_bar_logscale(left='pfs', height='total', bottom='above median', color=blue_hex, width=5e-3, alpha=1, data=pfs_events, ax=ax2)\n",
    "_ = ax2.set_ylabel('# Events', rotation=0, fontsize='small', verticalalignment='center', horizontalalignment='right')\n",
    "_ = ax2.set_xscale('log', nonposx='clip')\n",
    "_ = ax2.set_xlim([7, 1097])\n",
    "_ = ax2.set_xlabel('Days', labelpad=2)\n",
    "_ = ax2.set_yticks([0, 2, 4])\n",
    "_ = ax2.tick_params(direction='out', axis='y', which='both', length=3, width=1, left=False, right=True, labelleft=False, labelright=True, labelsize='small')\n",
    "_ = ax2.set_xticks(np.exp([2, 3, 4, 5, 6, 7]))\n",
    "_ = ax2.spines['top'].set_visible(False)\n",
    "_ = ax2.spines['right'].set_visible(False)\n",
    "_ = ax2.spines['left'].set_visible(False)\n",
    "_ = ax2.spines['bottom'].set_visible(True)\n",
    "_ = ax2.set_xticklabels(\n",
    "    [r\"%d ($e^%d$) \" % (int(round(np.exp(x))), x) for x in [2, 3, 4, 5, 6, 7]], rotation=\"vertical\")\n",
    "#ax2.legend_.remove()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## add visit timings"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally we want to add in the \"visit timing\" indicators, as vertical dashed bars."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, 64, 127, 190, 253, 316, 365, 449, 533, 617, 701, 785, 869, 953, 1037]"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Tumor responses to atezolizumab were evaluated by CT scan every 9 weeks for the first 12 months following day 1 of cycle 1. After 12 months, tumor assessments were performed every 12 weeks.\n",
    "visit_targets = list(range(1, 365, 9*7))\n",
    "visit_targets.extend(list(range(365, 1097, 12*7)))\n",
    "visit_targets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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c5GSKTp0CvZ7yzEzSN24kfeNGTG1tce3TB9ewMFx69cLsyrejf5aNlTmdfVzp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\nSBr877lmzRp5e3srMTHRlVsFAAAAAIwSYUH+um1Rhv73m0t0+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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe7a78f8cd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "gs1 = gridspec.GridSpec(10, 1)\n",
    "ax1 = fig.add_subplot(gs1[0:9])\n",
    "ax2 = fig.add_subplot(gs1[9:10])\n",
    "\n",
    "fig.set_size_inches(2250 / 150, 1225 / 150)\n",
    "\n",
    "title_loc = \"left\"\n",
    "title_fontsize = 18\n",
    "title_kwargs = {\"loc\": title_loc, \"fontsize\": title_fontsize, \"fontweight\": \"bold\"}\n",
    "\n",
    "# observed survival\n",
    "obs_above = plot_obs_survival(data=d.query('snv_count_at_median == \"above median\"'),\n",
    "                              label='Missense SNV above median',\n",
    "                              ax=ax1)\n",
    "obs_below = plot_obs_survival(data=d.query('snv_count_at_median == \"below median\"'),\n",
    "                              label='Missense SNV below median',\n",
    "                              ax=ax1)\n",
    "obs_above.set_xscale(\"log\", nonposx='clip')\n",
    "obs_below.set_xscale(\"log\", nonposx='clip')\n",
    "_ = obs_above.axes.set_xlim([7, 1097])\n",
    "_ = obs_above.axes.set_ylabel('Progression-free Survival (%)')\n",
    "_ = obs_above.axes.set_xlabel('')\n",
    "_ = obs_above.xaxis.set_ticks([])\n",
    "_ = obs_above.xaxis.set_ticklabels([])\n",
    "_ = ax1.legend()\n",
    "ax1.set_title(\"C\", **title_kwargs)\n",
    "\n",
    "# event freqs\n",
    "red = colors.hex2color(\"#bb3f3f\")\n",
    "blue = colors.hex2color(\"#5a86ad\")\n",
    "red_hex = \"#bb3f3f\"\n",
    "blue_hex = \"#5a86ad\"\n",
    "event_above_med = plot_bar_logscale(left='pfs', height='above median', color=red_hex, width=5e-3, alpha=0.8, data=pfs_events, ax=ax2)\n",
    "event_below_med = plot_bar_logscale(left='pfs', height='total', bottom='above median', color=blue_hex, width=5e-3, alpha=0.8, data=pfs_events, ax=ax2)\n",
    "_ = ax2.set_ylabel('# Events', rotation=0, fontsize='small', verticalalignment='center', horizontalalignment='right')\n",
    "_ = ax2.set_xscale('log', nonposx='clip')\n",
    "_ = ax2.set_xlim([7, 1097])\n",
    "_ = ax2.set_xlabel('Days', labelpad=2)\n",
    "_ = ax2.set_yticks([0, 2, 4])\n",
    "_ = ax2.tick_params(direction='out', axis='y', which='both', length=3, width=1, left=False, right=True, labelleft=False, labelright=True, labelsize='small')\n",
    "_ = ax2.set_xticks(np.exp([2, 3, 4, 5, 6, 7]))\n",
    "_ = ax2.spines['top'].set_visible(False)\n",
    "_ = ax2.spines['right'].set_visible(False)\n",
    "_ = ax2.spines['left'].set_visible(False)\n",
    "_ = ax2.spines['bottom'].set_visible(True)\n",
    "_ = ax2.set_xticklabels(\n",
    "    [r\"%d ($e^%d$) \" % (int(round(np.exp(x))), x) for x in [2, 3, 4, 5, 6, 7]], rotation=\"vertical\")\n",
    "# add visit schedule\n",
    "for xval in visit_targets:\n",
    "    _ = ax2.axvline(xval, color='gray', linestyle='dotted', linewidth=1)\n",
    "#ax2.legend_.remove()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Final version of figure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{{{figure_timevary6_rug}}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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60nr77Wm9/fa0d3TUehygmxSTAAAAAEDVKSYBAAAAgKrrcjF5ww03ZNmyZT05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\nDz64giMDAFBvZE0AgMbT5TM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lqaM0cu/v4yn+tNaQ4Pl2tAQNknuoCLs6NqVvZTzcp+Ntvz8i06kZxhOyw8MU3HkzOU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\nhkJJERERERERkVNIaJA/F82Zyh9u/hp3Lp3HWekJeNl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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe6fbb22f90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.ticker as mtick\n",
    "\n",
    "\n",
    "def plot_pp_survival(data,\n",
    "                     xvar='event_time', yvar='median',\n",
    "                     y_lower='50_lower', y_upper='50_upper',\n",
    "                     **kwargs):\n",
    "    ax = kwargs.pop('ax', plt.gca())\n",
    "    base_line, = ax.plot(data[xvar], data[yvar]*100, **kwargs)\n",
    "    ax.fill_between(data[xvar], data[y_lower]*100, data[y_upper]*100, facecolor=base_line.get_color(), alpha=0.5)\n",
    "    fmt = '%.0f%%' \n",
    "    yticks = mtick.FormatStrFormatter(fmt)\n",
    "    ax.yaxis.set_major_formatter(yticks)\n",
    "    return ax\n",
    "\n",
    "def plot_obs_survival(data,\n",
    "                      **kwargs):\n",
    "    ax = kwargs.pop('ax', plt.gca())\n",
    "    observed_surv = survivalstan.utils._summarize_survival(df=data,\n",
    "                                                           time_col='pfs',\n",
    "                                                           event_col='is_progressed_or_deceased'\n",
    "                                                          )\n",
    "    base_line, = ax.plot(observed_surv['pfs'], observed_surv['survival']*100, **kwargs)\n",
    "    fmt = '%.0f%%' \n",
    "    yticks = mtick.FormatStrFormatter(fmt)\n",
    "    ax.yaxis.set_major_formatter(yticks)\n",
    "    return ax\n",
    "\n",
    "\n",
    "\n",
    "from utils.paper import *\n",
    "hyper_figure_label_printer(\"figure_timevary6_rug\")\n",
    "\n",
    "import matplotlib.gridspec as gridspec\n",
    "fig = plt.figure()\n",
    "gs0 = gridspec.GridSpec(2, 1)\n",
    "gs00 = gridspec.GridSpecFromSubplotSpec(1, 2, subplot_spec=gs0[0])\n",
    "ax1 = fig.add_subplot(gs00[0])\n",
    "ax2 = fig.add_subplot(gs00[1])\n",
    "gs01 = gridspec.GridSpecFromSubplotSpec(10, 1, subplot_spec=gs0[1])\n",
    "ax4 = fig.add_subplot(gs01[0:9])\n",
    "ax5 = fig.add_subplot(gs01[9:10])\n",
    "\n",
    "fig.set_size_inches(2250 / 150, 2625 / 150)\n",
    "\n",
    "title_loc = \"left\"\n",
    "title_fontsize = 18\n",
    "title_kwargs = {\"loc\": title_loc, \"fontsize\": title_fontsize, \"fontweight\": \"bold\"}\n",
    "\n",
    "# prep data for PFS plot\n",
    "value, variable, coefdata = survivalstan.utils._prep_data_for_coefs([rw2_model_90d], 'coefs')\n",
    "coefdata['exp(beta)'] = np.exp(coefdata[value])\n",
    "coefdata['Missense SNV Count / MB'] = coefdata['variable']\n",
    "result = sb.boxplot(ax=ax1, data=coefdata, x='exp(beta)', y='Missense SNV Count / MB', fliersize=0, whis=[2.5, 97.5])\n",
    "_ = result.axes.set_yticklabels([u't ≤ 3m', 't > 3m'])\n",
    "_ = result.axes.vlines(1, -10, 10, linestyles='--')\n",
    "_ = result.axes.set_ylabel('# Missense SNVs / MB')\n",
    "_ = result.axes.set_xlabel('HR for {}'.format(cohort.hazard_plot_name))\n",
    "ax1.set_title(\"A\", **title_kwargs)\n",
    "\n",
    "# prep data for OS plot\n",
    "value, variable, coefdata = survivalstan.utils._prep_data_for_coefs([rw2_model_90d_os], 'coefs')\n",
    "coefdata['exp(beta)'] = np.exp(coefdata[value])\n",
    "coefdata['Missense SNV Count / MB'] = coefdata['variable']\n",
    "result = sb.boxplot(ax=ax2, data=coefdata, x='exp(beta)', y='Missense SNV Count / MB', fliersize=0, whis=[2.5, 97.5])\n",
    "_ = result.axes.set_yticklabels([u't ≤ 3m', 't > 3m'])\n",
    "_ = result.axes.vlines(1, -10, 10, linestyles='--')\n",
    "_ = result.axes.set_ylabel('# Missense SNVs / MB')\n",
    "_ = result.axes.set_xlabel('HR for {}'.format(cohort.hazard_os_plot_name))\n",
    "ax2.set_title(\"B\", **title_kwargs)\n",
    "\n",
    "# observed survival plot\n",
    "obs_above = plot_obs_survival(data=d.query('snv_count_at_median == \"above median\"'),\n",
    "                              label='Missense SNV above median',\n",
    "                              ax=ax4)\n",
    "obs_below = plot_obs_survival(data=d.query('snv_count_at_median == \"below median\"'),\n",
    "                              label='Missense SNV below median',\n",
    "                              ax=ax4)\n",
    "obs_above.set_xscale(\"log\", nonposx='clip')\n",
    "obs_below.set_xscale(\"log\", nonposx='clip')\n",
    "_ = obs_above.axes.set_xlim([7, 1097])\n",
    "_ = obs_above.axes.set_ylabel('Progression-free Survival (%)')\n",
    "_ = obs_above.axes.set_xlabel('')\n",
    "_ = obs_above.xaxis.set_ticks([])\n",
    "_ = obs_above.xaxis.set_ticklabels([])\n",
    "_ = ax4.legend()\n",
    "ax4.set_title(\"C\", **title_kwargs)\n",
    "\n",
    "# event freqs\n",
    "red_hex = \"#bb3f3f\"\n",
    "blue_hex = \"#5a86ad\"\n",
    "event_above_med = plot_bar_logscale(left='pfs', height='above median', color=red_hex, width=5e-3, alpha=0.8, data=pfs_events, ax=ax5)\n",
    "event_below_med = plot_bar_logscale(left='pfs', height='total', bottom='above median', color=blue_hex, width=5e-3, alpha=0.8, data=pfs_events, ax=ax5)\n",
    "#_ = ax5.set_ylabel('Events', rotation=0, fontsize='small', verticalalignment='center', horizontalalignment='right')\n",
    "_ = ax5.set_ylabel('')\n",
    "_ = ax5.set_xscale('log', nonposx='clip')\n",
    "_ = ax5.set_xlim([7, 1097])\n",
    "_ = ax5.set_xlabel('Days', labelpad=2)\n",
    "_ = ax5.set_yticks([0, 2, 4])\n",
    "_ = ax5.tick_params(direction='out', axis='y', which='both', length=3, width=1, left=False, right=True, labelleft=False, labelright=True, labelsize='small')\n",
    "_ = ax5.set_xticks(np.exp([2, 3, 4, 5, 6, 7]))\n",
    "_ = ax5.spines['top'].set_visible(False)\n",
    "_ = ax5.spines['right'].set_visible(False)\n",
    "_ = ax5.spines['left'].set_visible(False)\n",
    "_ = ax5.spines['bottom'].set_visible(True)\n",
    "_ = ax5.set_xticklabels(\n",
    "    [r\"%d ($e^%d$) \" % (int(round(np.exp(x))), x) for x in [2, 3, 4, 5, 6, 7]], rotation=\"vertical\")\n",
    "# add visit schedule\n",
    "for xval in visit_targets:\n",
    "    _ = ax5.axvline(xval, color='gray', linestyle='dotted', linewidth=1)\n",
    "\n",
    "# adjusting subplot spacing  \n",
    "plt.subplots_adjust(wspace=0.35, hspace=0.35)\n",
    "fig.suptitle('')\n",
    "\n",
    "# save to file\n",
    "fig.savefig(path.join(data.REPO_DATA_DIR, 'Fig3v7.tif'), format='tif', dpi=300, bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## supplementary figures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from utils.paper import resize_image_plos\n",
    "resize_image_plos('Fig3v6.tif', 'Fig3v6.tif', height=2000, figure_path=data.REPO_DATA_DIR)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{{{figure_timevary_overlapping_boxplot}}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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f/mT6vIKCAq1fv16tWrWiFQEAAAAog93uRidPnpQk3XDDDZKkXbt2WfcNGzZM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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f036a6dba90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hyper_figure_label_printer(\"figure_timevary_overlapping_boxplot\")\n",
    "\n",
    "import matplotlib.gridspec as gridspec\n",
    "fig = plt.figure()\n",
    "gs1 = gridspec.GridSpec(1, 1)\n",
    "ax3 = fig.add_subplot(gs1[0])\n",
    "\n",
    "fig.set_size_inches(12, 8)\n",
    "\n",
    "title_loc = \"left\"\n",
    "title_fontsize = 18\n",
    "title_kwargs = {\"loc\": title_loc, \"fontsize\": title_fontsize, \"fontweight\": \"bold\"}\n",
    "\n",
    "# prep data for time-varying plot\n",
    "x_min = min(np.log(tvc_model['time_betas'].end_time.drop_duplicates()))\n",
    "x_max = max(np.log(tvc_model['time_betas'].end_time.drop_duplicates()))\n",
    "result = time_varying_timepoint_id_overlap_plot = tvc_model['time_betas'].boxplot(\n",
    "    ax=ax3,\n",
    "    column='exp(beta)',\n",
    "    by='end_time',\n",
    "    whis=[2.5, 97.5],\n",
    "    positions=np.log(tvc_model['time_betas'].end_time.drop_duplicates()),\n",
    ")\n",
    "plt.suptitle(\"\")\n",
    "_ = result.axes.set_ylim([0, 2])\n",
    "_ = result.axes.hlines(1, -1, 20, linestyles='--')\n",
    "_ = result.axes.set_xlabel('Days')\n",
    "_ = result.axes.set_ylabel('HR for # Missense SNV / MB')\n",
    "_ = time_varying_timepoint_id_overlap_plot.xaxis.set_ticks([2, 3, 4, 5, 6, 7])\n",
    "_ = time_varying_timepoint_id_overlap_plot.xaxis.set_ticklabels(\n",
    "    [r\"%d ($e^%d$) \" % (int(round(np.exp(x))), x) for x in [2, 3, 4, 5, 6, 7]], rotation=\"vertical\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{{{figure_timevary_pp_pfs}}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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vvcSoUaOIiopixowZDB06lJycHNasWdOgWNlut9OvX78zxp2QkMDixYsBSE9P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\nGtavXw/QJnjors9//vMopWIBg91u58Ybb+SOO+7guuuuk+l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uv/12fvKTn/D8888D8I1v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\n0ArTArBkyRJefPFFYmNjiYiIICsrq3KbVqC3Xb/l3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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f0369243f90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hyper_figure_label_printer(\"figure_timevary_pp_pfs\")\n",
    "\n",
    "import matplotlib.gridspec as gridspec\n",
    "fig = plt.figure()\n",
    "gs1 = gridspec.GridSpec(1, 1)\n",
    "ax5 = fig.add_subplot(gs1[0])\n",
    "\n",
    "fig.set_size_inches(12, 8)\n",
    "\n",
    "title_loc = \"left\"\n",
    "title_fontsize = 18\n",
    "title_kwargs = {\"loc\": title_loc, \"fontsize\": title_fontsize, \"fontweight\": \"bold\"}\n",
    "\n",
    "# posterior-predicted survival plot\n",
    "above = plot_pp_survival(data=ppsummary_above,\n",
    "                      label='Missense SNV above median',\n",
    "                      ax=ax5)\n",
    "below = plot_pp_survival(data=ppsummary_below,\n",
    "                      label='Missense SNV below median',\n",
    "                      ax=ax5)\n",
    "above.set_xscale(\"log\", nonposx='clip')\n",
    "below.set_xscale(\"log\", nonposx='clip')\n",
    "_ = above.axes.set_ylabel('Posterior-predicted\\nProgression-free Survival (%)')\n",
    "_ = above.axes.set_xlabel('Days')\n",
    "_ = above.xaxis.set_ticks(np.exp([2, 3, 4, 5, 6, 7]))\n",
    "_ = above.xaxis.set_ticklabels(\n",
    "    [r\"%d ($e^%d$) \" % (int(round(np.exp(x))), x) for x in [2, 3, 4, 5, 6, 7]], rotation=\"vertical\")\n",
    "_ = ax5.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "celltoolbar": "Raw Cell Format",
  "kernelspec": {
   "display_name": "Python [conda env:newbladder2]",
   "language": "python",
   "name": "conda-env-newbladder2-py"
  },
  "nav_menu": {
   "height": "534px",
   "width": "391px"
  },
  "toc": {
   "navigate_menu": true,
   "number_sections": true,
   "sideBar": true,
   "threshold": 6,
   "toc_cell": false,
   "toc_section_display": "block",
   "toc_window_display": true
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  "toc_position": {
   "height": "597px",
   "left": "0px",
   "right": "20px",
   "top": "106px",
   "width": "358px"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
